From eefa9575ac106e2e2943097c2706ce11d6e6b1e7 Mon Sep 17 00:00:00 2001 From: Larry-Osakwe Date: Wed, 3 Dec 2025 10:24:37 -0800 Subject: [PATCH 1/3] Agents SDK --- packages/agents/CHANGELOG.md | 12 + packages/agents/README.md | 297 +++ packages/agents/pyproject.toml | 133 ++ packages/agents/src/keycardai/__init__.py | 2 + .../agents/src/keycardai/agents/__init__.py | 5 + .../src/keycardai/agents/crewai_agents.py | 652 ++++++ packages/agents/tests/__init__.py | 1 + packages/agents/tests/test_import.py | 35 + pyproject.toml | 1 + uv.lock | 1981 +++++++++++++++-- 10 files changed, 2977 insertions(+), 142 deletions(-) create mode 100644 packages/agents/CHANGELOG.md create mode 100644 packages/agents/README.md create mode 100644 packages/agents/pyproject.toml create mode 100644 packages/agents/src/keycardai/__init__.py create mode 100644 packages/agents/src/keycardai/agents/__init__.py create mode 100644 packages/agents/src/keycardai/agents/crewai_agents.py create mode 100644 packages/agents/tests/__init__.py create mode 100644 packages/agents/tests/test_import.py diff --git a/packages/agents/CHANGELOG.md b/packages/agents/CHANGELOG.md new file mode 100644 index 0000000..58efb32 --- /dev/null +++ b/packages/agents/CHANGELOG.md @@ -0,0 +1,12 @@ +## 0.1.0-keycardai-agents (2025-12-03) + +### Features + +- feat(keycardai-agents): initial release +- CrewAI integration with secure MCP tool access +- No token passing - agents never receive raw API tokens +- Fresh token fetched per API call through Keycard +- Authentication awareness with auth request tools +- Automatic tool conversion from MCP to CrewAI BaseTool format +- Configurable auth handlers for custom authentication flows +- System prompt generation with auth context diff --git a/packages/agents/README.md b/packages/agents/README.md new file mode 100644 index 0000000..c60817c --- /dev/null +++ b/packages/agents/README.md @@ -0,0 +1,297 @@ +# KeycardAI Agents SDK + +Keycard integration for AI agent frameworks (CrewAI) with secure MCP tool access. + +## Overview + +The `keycardai-agents` package provides clean integrations between Keycard's secure MCP client and popular agent frameworks. It follows these security principles: + +1. **No Token Passing**: Agents never receive raw API tokens +2. **Fresh Tokens**: Each tool call fetches a fresh token through Keycard +3. **User Attribution**: All API calls are logged with user identity +4. **Auth Awareness**: Agents can request authentication when needed + +## Installation + +```bash +# For CrewAI support +pip install keycardai-agents[crewai] + +# Or install all extras +pip install keycardai-agents[all] +``` + +## Quick Start - CrewAI + +```python +import asyncio +from crewai import Agent, Crew, Task +from keycardai.agents.crewai_agents import create_client +from keycardai.mcp.client import Client as MCPClient + +async def main(): + # 1. Configure MCP client to connect to your MCP servers + mcp_config = { + "mcpServers": { + "github": { + "command": "uvx", + "args": ["keycardai-mcp-fastmcp", "--project-dir", "~/your-mcp-server"], + } + } + } + mcp_client = MCPClient(mcp_config) + + # 2. Create Keycard CrewAI adapter + async with create_client(mcp_client) as client: + # 3. Get Keycard-secured tools (NO TOKENS!) + tools = await client.get_tools() + auth_tools = await client.get_auth_tools() + + # 4. Create agents with secured tools + agent = Agent( + role="GitHub Expert", + goal="Analyze pull requests", + backstory=client.get_system_prompt("You are a code review expert"), + tools=tools + auth_tools, # Keycard-secured tools + ) + + # 5. Define and run tasks + task = Task( + description="Analyze PR #123 from repo owner/repo", + expected_output="Detailed PR analysis", + agent=agent, + ) + + crew = Crew(agents=[agent], tasks=[task]) + result = crew.kickoff() + print(result) + +asyncio.run(main()) +``` + +## Architecture + +### The Wrong Way (What NOT to Do) + +```python +# ❌ WRONG: Passing tokens directly to agents +github_token = get_token_from_keycard() # Token fetched once +agent = Agent( + role="GitHub Expert", + tools=create_github_tools(github_token), # Token embedded in tools +) +# Problems: +# - Agent has unfettered access to token +# - Token can expire during execution +# - No per-call logging or authorization +# - Keycard is just an "auth orchestrator" +``` + +### The Right Way (Keycard Integration) + +```python +# ✅ CORRECT: Tools call through MCP client +async with create_client(mcp_client) as client: + tools = await client.get_tools() # Tools with MCP client reference + agent = Agent(role="GitHub Expert", tools=tools) + # Each tool call: + # 1. Agent invokes tool + # 2. Tool calls mcp_client.call_tool() + # 3. MCP client calls MCP server + # 4. MCP server requests fresh token from Keycard + # 5. API call is made with fresh token + # 6. Call is logged with user attribution +``` + +## Key Components + +### CrewAIClient + +The main adapter class that wraps an MCP client and provides CrewAI-compatible tools. + +```python +from keycardai.agents.crewai_agents import CrewAIClient, create_client + +async with create_client(mcp_client) as client: + # Get tools from authenticated MCP servers + tools = await client.get_tools() # List[BaseTool] + + # Get authentication request tools + auth_tools = await client.get_auth_tools() # List[BaseTool] + + # Get system prompt with auth context + prompt = client.get_system_prompt("You are helpful") # str +``` + +### Tool Conversion + +MCP tools are automatically converted to CrewAI `BaseTool` instances: + +- **Async Execution**: Tools use `async_run()` for async MCP calls +- **Schema Conversion**: JSON schemas converted to Pydantic models +- **Error Handling**: Errors are caught and returned as strings +- **Result Formatting**: MCP results formatted for agent consumption + +### Authentication Flow + +When an MCP server requires authentication: + +1. **Auth Detection**: Client detects pending auth challenges on connect +2. **Auth Tool**: `request_authentication` tool is added to agent toolset +3. **Agent Request**: Agent can call the tool when user needs a service +4. **Auth Handler**: Configurable handler sends auth link to user +5. **Token Refresh**: After auth, tools automatically use new tokens + +```python +# Custom auth handler example +from keycardai.agents.crewai_agents import AuthToolHandler + +class SlackAuthHandler(AuthToolHandler): + async def handle_auth_request(self, service, reason, challenge): + # Send auth link to Slack + await slack_client.post_message( + channel=channel_id, + text=f"Please authorize {service}: {challenge['auth_url']}" + ) + return f"Authorization link sent to Slack channel" + +async with create_client(mcp_client, auth_tool_handler=SlackAuthHandler()) as client: + # Auth requests will be sent to Slack + tools = await client.get_tools() +``` + +## Advanced Usage + +### Multi-Agent Crews + +```python +async with create_client(mcp_client) as client: + tools = await client.get_tools() + + # Agent 1: Data fetcher + fetcher = Agent( + role="Data Fetcher", + goal="Fetch information from APIs", + tools=tools, + ) + + # Agent 2: Analyzer + analyzer = Agent( + role="Data Analyzer", + goal="Analyze fetched data", + tools=tools, # Same tools, but each call is independently authorized + ) + + # Tasks with context passing + fetch_task = Task( + description="Fetch PR #123", + agent=fetcher, + ) + + analyze_task = Task( + description="Analyze the PR data", + agent=analyzer, + context=[fetch_task], # Uses fetcher's output + ) + + crew = Crew( + agents=[fetcher, analyzer], + tasks=[fetch_task, analyze_task], + ) + result = crew.kickoff() +``` + +### Custom System Prompts + +```python +async with create_client(mcp_client) as client: + # Default auth-aware prompt + default_prompt = client.get_system_prompt("You are helpful") + + # Custom auth prompt + client.auth_prompt = """ + **IMPORTANT**: Some services need authorization. + Use the request_authentication tool with clear reasoning. + """ + custom_prompt = client.get_system_prompt("You are helpful") +``` + +### Tool Caching + +Tools are cached after first load for performance: + +```python +async with create_client(mcp_client) as client: + tools1 = await client.get_tools() # Fetches from MCP servers + tools2 = await client.get_tools() # Returns cached tools + + # To force refresh, reconnect: + await mcp_client.disconnect() + await mcp_client.connect() + tools3 = await client.get_tools() # Fresh fetch +``` + +## Examples + +Complete working examples with multi-agent crews, Keycard-secured API access, no token passing, and auth-aware agents will be added in future releases. + +## Comparison with Other Integrations + +### LangChain Integration + +For LangChain, use the existing `keycardai-mcp` integration: + +```python +from keycardai.mcp.client.integrations import langchain_agents + +async with langchain_agents.create_client(mcp_client) as client: + tools = await client.get_tools() # LangChain StructuredTool objects + # Use with LangChain agents +``` + +### OpenAI Agents Integration + +For OpenAI Agents SDK, use the `keycardai-mcp` integration: + +```python +from keycardai.mcp.client.integrations import openai_agents + +async with openai_agents.create_client(mcp_client) as client: + tools = await client.get_tools() # OpenAI tool schemas + # Use with OpenAI agents +``` + +## Framework Comparison + +| Framework | Package | Tool Format | Agent Type | +|-----------|---------|-------------|------------| +| CrewAI | `keycardai-agents[crewai]` | `BaseTool` | Role-based | +| LangChain | `keycardai-mcp` | `StructuredTool` | Conversational | +| OpenAI Agents | `keycardai-mcp` | OpenAI schema | Function calling | + +## Development + +```bash +# Install in development mode +cd python-sdk/packages/agents +pip install -e ".[test]" + +# Run tests +pytest + +# Run type checking +mypy src/keycardai/agents + +# Run linting +ruff check src/keycardai/agents +``` + +## License + +MIT + +## Links + +- [GitHub Repository](https://github.com/keycardai/python-sdk) +- [Documentation](https://docs.keycardai.com) +- [Keycard Platform](https://keycard.ai) diff --git a/packages/agents/pyproject.toml b/packages/agents/pyproject.toml new file mode 100644 index 0000000..d9f6705 --- /dev/null +++ b/packages/agents/pyproject.toml @@ -0,0 +1,133 @@ +[project] +name = "keycardai-agents" +dynamic = ["version"] +description = "Keycard integration for AI agent frameworks (CrewAI) with secure MCP tool access" +readme = "README.md" +requires-python = ">=3.10" +license = { text = "MIT" } +authors = [{ name = "Keycard", email = "support@keycard.ai" }] +dependencies = [ + "keycardai-mcp>=0.17.0", + "pydantic>=2.11.7", + "nest-asyncio>=1.6.0", +] +keywords = ["agents", "crewai", "mcp", "authentication", "authorization", "ai", "llm"] +classifiers = [ + "Development Status :: 3 - Alpha", + "Intended Audience :: Developers", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Operating System :: OS Independent", + "Topic :: Software Development :: Libraries :: Python Modules", + "Topic :: Security", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "License :: OSI Approved :: MIT License", +] + +[project.optional-dependencies] +crewai = [ + "crewai>=0.86.0", +] +all = [ + "crewai>=0.86.0", +] +test = [ + "pytest>=8.4.1", + "pytest-asyncio>=1.1.0", + "pytest-cov>=6.2.1", + "pytest-timeout>=2.3.1", + "crewai>=0.86.0", +] + +[project.urls] +Homepage = "https://github.com/keycardai/python-sdk" +Repository = "https://github.com/keycardai/python-sdk" +Documentation = "https://docs.keycardai.com" +Issues = "https://github.com/keycardai/python-sdk/issues" + +[build-system] +requires = ["hatchling", "uv-dynamic-versioning"] +build-backend = "hatchling.build" + +[tool.hatch.version] +source = "uv-dynamic-versioning" + +[tool.uv-dynamic-versioning] +vcs = "git" +pattern = "(?P\\d+\\.\\d+\\.\\d+)-keycardai-agents" +style = "pep440" + +[[tool.uv.index]] +name = "testpypi" +url = "https://test.pypi.org/simple/" +publish-url = "https://test.pypi.org/legacy/" +explicit = true + +[tool.uv.sources] +keycardai-mcp = { workspace = true } + +[tool.hatch.build.targets.wheel] +packages = ["src/keycardai"] + +[tool.ruff] +line-length = 88 +target-version = "py310" + +[tool.ruff.lint] +select = [ + "E", # pycodestyle errors + "W", # pycodestyle warnings + "F", # pyflakes + "I", # isort + "B", # flake8-bugbear + "C4", # flake8-comprehensions + "UP", # pyupgrade +] +ignore = [ + "E501", # line too long, we'll handle case by case +] +isort = { combine-as-imports = true, known-first-party = ["keycardai"] } + +[tool.ruff.lint.per-file-ignores] +"tests/**/*.py" = ["T20"] + +[tool.mypy] +strict = true +disallow_incomplete_defs = false +disallow_untyped_defs = false +disallow_untyped_calls = false + +[[tool.mypy.overrides]] +module = "tests.*" +disallow_untyped_defs = false + +[tool.coverage.run] +source = ["tests", "src/keycardai"] + +[tool.coverage.report] +show_missing = true +exclude_also = [ + "pragma: no cover", + "if TYPE_CHECKING:", + "@abc.abstractmethod", + "raise NotImplementedError", +] + +[tool.pytest.ini_options] +testpaths = ["tests"] +addopts = "-ra -q" + +[tool.commitizen] +name = "cz_customize" +version = "0.1.0" +tag_format = "${version}-keycardai-agents" +ignored_tag_formats = ["${version}-*"] +update_changelog_on_bump = true +bump_message = "bump: keycardai-agents $current_version → $new_version" +major_version_zero = true + +[tool.commitizen.customize] +changelog_pattern = "^(feat|fix|refactor|perf|test|build|ci|revert)\\(keycardai-agents\\)(!)?:" diff --git a/packages/agents/src/keycardai/__init__.py b/packages/agents/src/keycardai/__init__.py new file mode 100644 index 0000000..8d4780a --- /dev/null +++ b/packages/agents/src/keycardai/__init__.py @@ -0,0 +1,2 @@ +# Namespace package - allows keycardai.mcp and keycardai.agents to coexist +__path__ = __import__('pkgutil').extend_path(__path__, __name__) diff --git a/packages/agents/src/keycardai/agents/__init__.py b/packages/agents/src/keycardai/agents/__init__.py new file mode 100644 index 0000000..c002b68 --- /dev/null +++ b/packages/agents/src/keycardai/agents/__init__.py @@ -0,0 +1,5 @@ +"""Keycard AI integration for agent frameworks.""" + +from keycardai.agents.crewai_agents import CrewAIClient, create_client + +__all__ = ["CrewAIClient", "create_client"] diff --git a/packages/agents/src/keycardai/agents/crewai_agents.py b/packages/agents/src/keycardai/agents/crewai_agents.py new file mode 100644 index 0000000..9101425 --- /dev/null +++ b/packages/agents/src/keycardai/agents/crewai_agents.py @@ -0,0 +1,652 @@ +""" +CrewAI agents adapter for KeycardAI MCP client. + +Provides a clean API for integrating MCP tools with CrewAI agents: +- Automatic auth detection and handling +- System prompt generation with auth context +- MCP tools converted to CrewAI tools +- Auth request tools for agent + +Usage: + from keycardai.agents.crewai_agents import create_client + from keycardai.mcp.client import Client as MCPClient + + async with create_client(mcp_client) as client: + tools = await client.get_tools() + auth_tools = await client.get_auth_tools() + + crew = Crew( + agents=[...], + tasks=[...], + tools=tools + auth_tools, + ) + result = crew.kickoff() +""" + +import asyncio +import json +import logging +from collections.abc import Awaitable, Callable +from typing import Any + +from pydantic import BaseModel, Field + +# Apply nest_asyncio to allow nested event loops +# This is needed because CrewAI calls tools synchronously but we may be +# in an async context (e.g., when using async MCP client) +try: + import nest_asyncio + nest_asyncio.apply() +except ImportError: + # nest_asyncio not installed - will fail if nesting occurs + pass + +try: + from crewai.tools import BaseTool +except ImportError: + raise ImportError( + "CrewAI is not installed. Install it with: pip install 'keycardai-agents[crewai]'" + ) + +from keycardai.mcp.client import Client + +logger = logging.getLogger(__name__) + + +class AuthToolHandler: + """Base handler for authentication requests from agents.""" + + async def handle_auth_request( + self, service: str, reason: str, challenge: dict[str, Any] + ) -> str: + """Handle authentication request from agent. + + Args: + service: Service name requiring authentication + reason: User-friendly explanation of why auth is needed + challenge: Auth challenge data from MCP server + + Returns: + Status message for the agent + """ + raise NotImplementedError + + +class DefaultAuthToolHandler(AuthToolHandler): + """Default handler that returns auth messages for agent to display.""" + + async def handle_auth_request( + self, service: str, reason: str, challenge: dict[str, Any] + ) -> str: + """Return formatted auth message with link.""" + auth_url = challenge.get("auth_url", "") + if auth_url: + return f"""Authorization initiated for {service}. + +Reason: {reason} + +Please visit this URL to authorize: +{auth_url} + +Once you've authorized, I will automatically gain access to {service}.""" + else: + return f"Authorization required for {service}. Reason: {reason}" + + +class CrewAIClient: + """ + CrewAI agents adapter for MCP client. + + Wraps MCP client to provide: + - get_tools(): MCP tools converted to CrewAI tools + - get_auth_tools(): Tools for requesting authentication + - get_system_prompt(): Instructions with auth awareness + + Usage: + async with create_client(mcp_client) as client: + tools = await client.get_tools() + auth_tools = await client.get_auth_tools() + + crew = Crew( + agents=[ + Agent( + role="GitHub Expert", + goal="Analyze pull requests", + tools=tools + auth_tools, + ) + ], + tasks=[...], + ) + """ + + def __init__( + self, + mcp_client: Client, + auth_tool_handler: AuthToolHandler | None = None, + auth_hook_closure: Callable[[], Awaitable[None]] | None = None, + auth_prompt: str | None = None, + ): + """ + Initialize adapter. + + Args: + mcp_client: KeycardAI MCP client + auth_tool_handler: Optional custom handler for auth requests. + If not provided, uses DefaultAuthToolHandler which returns + auth messages for the agent to display. + auth_hook_closure: Optional async function called when auth is needed + auth_prompt: Optional custom authentication prompt to include in system message + """ + self._mcp_client = mcp_client + self._auth_tool_handler = auth_tool_handler or DefaultAuthToolHandler() + self._pending_challenges: list[dict[str, Any]] = [] + self._authenticated_servers: list[str] = [] + self._auth_hook_closure = auth_hook_closure + self._tools_cache: list[BaseTool] = [] + self.auth_prompt = auth_prompt + + async def __aenter__(self) -> "CrewAIClient": + """ + Connect and analyze auth status. + + Returns: + Self for use in async with statement + """ + await self._mcp_client.connect() + + self._pending_challenges = await self._mcp_client.get_auth_challenges() + + if self._pending_challenges and self._auth_hook_closure: + try: + await self._auth_hook_closure() + except Exception as e: + logger.error(f"Error in auth hook closure: {e}", exc_info=True) + + try: + tool_infos = await self._mcp_client.list_tools() + # Group tools by server to determine which servers are authenticated + servers_with_tools = {info.server for info in tool_infos} + self._authenticated_servers = list(servers_with_tools) + except Exception as e: + # Session not fully connected (likely pending auth) + # No authenticated servers available yet + logger.error(f"Error listing tools: {e}", exc_info=True) + self._authenticated_servers = [] + + return self + + async def __aexit__(self, exc_type, exc_value, traceback): + """Exit context manager.""" + # MCP client manages its own lifecycle + pass + + def get_system_prompt(self, base_instructions: str) -> str: + """ + Generate system prompt with auth awareness. + + If services need auth, adds instructions about using auth tool. + Otherwise, returns base instructions unchanged. + + Args: + base_instructions: Your base agent instructions + + Returns: + System prompt (possibly augmented with auth instructions) + + Example: + >>> prompt = client.get_system_prompt("You are a helpful assistant") + >>> # If auth needed: + >>> # "You are a helpful assistant\\n\\n**AUTH REQUIRED**..." + >>> # If authenticated: + >>> # "You are a helpful assistant" + """ + if not self._pending_challenges: + return base_instructions + + pending_services = [c["server"] for c in self._pending_challenges] + + auth_section = self.auth_prompt or f""" + +**AUTHENTICATION STATUS:** +The following services require user authorization: {', '.join(pending_services)} + +**IMPORTANT:** When the user requests an action that requires one of these services: +1. Call the `request_authentication` tool with: + - service: The service name (e.g., "{pending_services[0]}") + - reason: Brief explanation (e.g., "To access your GitHub repositories") +2. The tool will initiate the authorization flow and send the auth link to the user +3. Inform the user that you've initiated authorization and they should check for the link +4. After the user authorizes, you will automatically gain access to use that service + +**Note:** You already have access to: {', '.join(self._authenticated_servers) if self._authenticated_servers else 'no services yet'} +""" + + return base_instructions + auth_section + + async def get_tools(self) -> list[BaseTool]: + """ + Get MCP tools converted to CrewAI tools. + + Only returns tools from servers that are authenticated. + Servers requiring auth are excluded until authorization completes. + + Returns: + List of CrewAI BaseTool objects + + Example: + >>> tools = await client.get_tools() + >>> # If GitHub authenticated but Slack not: + >>> # Returns tools from GitHub only + >>> # Slack tools excluded until user authorizes + """ + # Return cached tools if available (cache is cleared on reconnect) + if self._tools_cache: + return self._tools_cache + + tools = [] + for server_name in self._authenticated_servers: + try: + tool_infos = await self._mcp_client.list_tools(server_name) + + for tool_info in tool_infos: + crewai_tool = self._convert_mcp_tool_to_crewai( + tool_info.tool, tool_info.server + ) + tools.append(crewai_tool) + + except Exception as e: + logger.error( + f"Failed to load tools from server {server_name}: {e}", + exc_info=True, + ) + continue + + self._tools_cache = tools + return tools + + def _convert_mcp_tool_to_crewai( + self, mcp_tool: Any, server_name: str + ) -> BaseTool: + """ + Convert an MCP tool to a CrewAI BaseTool. + + Args: + mcp_tool: MCP Tool object + server_name: Name of the server this tool belongs to + + Returns: + CrewAI BaseTool + """ + tool_name = mcp_tool.name + tool_description = mcp_tool.description or f"Tool {tool_name} from {server_name}" + + input_schema = mcp_tool.inputSchema if hasattr(mcp_tool, "inputSchema") else {} + logger.debug(f"[{tool_name}] Converting MCP tool with input_schema: {input_schema}") + + # Create args schema from MCP tool schema + tool_args_schema = None + if input_schema and isinstance(input_schema, dict): + tool_args_schema = self._schema_to_pydantic(input_schema, tool_name) + logger.debug(f"[{tool_name}] Created args_schema: {tool_args_schema}") + else: + logger.debug(f"[{tool_name}] No input_schema found or invalid format") + + # Define common methods as closures + def _run_impl(self, *args, **kwargs) -> str: + """Synchronous run - wraps async execution for CrewAI compatibility.""" + logger.debug(f"[{tool_name}] _run called with args: {args}, kwargs: {kwargs}") + return asyncio.run(_async_run_impl(self, *args, **kwargs)) + + async def _async_run_impl(self, *args, **kwargs) -> str: + """Invoke the MCP tool asynchronously.""" + logger.debug(f"[{tool_name}] async_run called with args: {args}, kwargs: {kwargs}") + + # If args are passed (single dict argument from Pydantic model), convert to kwargs + if args and len(args) == 1 and isinstance(args[0], dict): + kwargs = args[0] + logger.debug(f"[{tool_name}] Converted args[0] to kwargs: {kwargs}") + + try: + logger.debug(f"[{tool_name}] Calling MCP client.call_tool with: tool_name={tool_name}, kwargs={kwargs}, server_name={self._server_name}") + result = await self._mcp_client.call_tool( + tool_name, kwargs, server_name=self._server_name + ) + + if isinstance(result, dict): + if "content" in result: + texts = [] + for item in result.get("content", []): + if isinstance(item, dict): + if item.get("type") == "text": + texts.append(item.get("text", "")) + else: + texts.append(str(item)) + else: + if hasattr(item, "text"): + texts.append(item.text) + else: + texts.append(str(item)) + return "\n".join(texts) if texts else "" + else: + return json.dumps(result, indent=2) + elif isinstance(result, str): + return result + else: + return str(result) + + except Exception as e: + logger.error( + f"Error calling tool {tool_name} on {self._server_name}: {e}", + exc_info=True, + ) + return f"Error: {str(e)}" + + # Create a dynamic tool class with proper annotations + if tool_args_schema: + class MCPToolWrapper(BaseTool): + """Wrapper for MCP tool.""" + + name: str = tool_name + description: str = tool_description + args_schema: type[BaseModel] = tool_args_schema + + def __init__(self, mcp_client: Client, server_name: str, **kwargs): + super().__init__(**kwargs) + self._mcp_client = mcp_client + self._server_name = server_name + + def invoke(self, input: str | dict, config: dict | None = None, **kwargs) -> str: + """Bridge CrewAI's invoke() convention to our _run() implementation.""" + logger.debug(f"[{tool_name}] invoke called with input type: {type(input)}, value: {input}") + + # Parse JSON string if needed + if isinstance(input, str): + try: + input = json.loads(input) + logger.debug(f"[{tool_name}] Parsed JSON string to: {input}") + except json.JSONDecodeError as e: + error_msg = f"Error: Failed to parse arguments as JSON: {e}" + logger.error(f"[{tool_name}] {error_msg}") + return error_msg + + # Validate using Pydantic args_schema + try: + validated_args = self.args_schema.model_validate(input) + arguments = validated_args.model_dump() + logger.debug(f"[{tool_name}] Validated arguments: {arguments}") + except Exception as e: + error_msg = f"Error: Arguments validation failed: {e}" + logger.error(f"[{tool_name}] {error_msg}") + return error_msg + + # Call existing _run implementation + logger.debug(f"[{tool_name}] Calling _run with validated arguments") + return self._run(**arguments) + + def _run(self, *args, **kwargs) -> str: + return _run_impl(self, *args, **kwargs) + + async def async_run(self, *args, **kwargs) -> str: + return await _async_run_impl(self, *args, **kwargs) + else: + class MCPToolWrapper(BaseTool): + """Wrapper for MCP tool.""" + + name: str = tool_name + description: str = tool_description + + def __init__(self, mcp_client: Client, server_name: str, **kwargs): + super().__init__(**kwargs) + self._mcp_client = mcp_client + self._server_name = server_name + + def invoke(self, input: str | dict, config: dict | None = None, **kwargs) -> str: + """Bridge CrewAI's invoke() convention to our _run() implementation.""" + logger.debug(f"[{tool_name}] invoke called with input type: {type(input)}, value: {input}") + + # Parse JSON string if needed + if isinstance(input, str): + try: + input = json.loads(input) + logger.debug(f"[{tool_name}] Parsed JSON string to: {input}") + except json.JSONDecodeError as e: + error_msg = f"Error: Failed to parse arguments as JSON: {e}" + logger.error(f"[{tool_name}] {error_msg}") + return error_msg + + # No schema validation needed - pass directly + if isinstance(input, dict): + logger.debug(f"[{tool_name}] Calling _run with arguments: {input}") + return self._run(**input) + else: + error_msg = f"Error: Expected dict or JSON string, got {type(input)}" + logger.error(f"[{tool_name}] {error_msg}") + return error_msg + + def _run(self, *args, **kwargs) -> str: + return _run_impl(self, *args, **kwargs) + + async def async_run(self, *args, **kwargs) -> str: + return await _async_run_impl(self, *args, **kwargs) + + # Instantiate the tool with MCP client reference + tool_instance = MCPToolWrapper( + mcp_client=self._mcp_client, + server_name=server_name + ) + + return tool_instance + + def _schema_to_pydantic(self, json_schema: dict, tool_name: str) -> type[BaseModel]: + """ + Convert JSON schema to Pydantic model for CrewAI. + + Args: + json_schema: JSON schema dict + tool_name: Name of the tool (for model naming) + + Returns: + Pydantic model class + """ + properties = json_schema.get("properties", {}) + required = json_schema.get("required", []) + + field_definitions = {} + for field_name, field_info in properties.items(): + field_type = self._json_type_to_python(field_info.get("type", "string")) + field_description = field_info.get("description", "") + + if field_name in required: + field_definitions[field_name] = ( + field_type, + Field(..., description=field_description), + ) + else: + field_definitions[field_name] = ( + field_type | None, + Field(None, description=field_description), + ) + + model_name = f"{tool_name.replace('-', '_').replace(' ', '_')}_Input" + + # Create dynamic Pydantic model + return type( + model_name, + (BaseModel,), + { + "__annotations__": {k: v[0] for k, v in field_definitions.items()}, + **{k: v[1] for k, v in field_definitions.items()}, + }, + ) + + def _json_type_to_python(self, json_type: str) -> type: + """ + Convert JSON schema type to Python type. + + Args: + json_type: JSON schema type string + + Returns: + Python type + """ + type_map = { + "string": str, + "number": float, + "integer": int, + "boolean": bool, + "array": list, + "object": dict, + } + return type_map.get(json_type, str) + + async def get_auth_tools(self) -> list[BaseTool]: + """ + Get authentication request tools for the agent. + + Returns a tool that allows the agent to request user authentication + when needed. If all services are authenticated, returns empty list. + + Returns: + List with one auth request tool (or empty if no auth needed) + + Example: + >>> tools = await client.get_auth_tools() + >>> # If auth needed: + >>> # [BaseTool(name="request_authentication", ...)] + >>> # If all authenticated: + >>> # [] + """ + if not self._pending_challenges: + return [] + + pending_services = [c["server"] for c in self._pending_challenges] + + class RequestAuthenticationTool(BaseTool): + """Tool for requesting user authentication.""" + + name: str = "request_authentication" + description: str = ( + f"Request user authentication for services that need it. " + f"Available services: {', '.join(pending_services)}. " + f"Call this when the user wants to use one of these services." + ) + + def __init__( + self, + auth_handler: AuthToolHandler, + challenges: list[dict[str, Any]], + **kwargs + ): + super().__init__(**kwargs) + self._auth_handler = auth_handler + self._challenges = challenges + + def _run(self, service: str, reason: str) -> str: + """Synchronous run - not supported for async auth.""" + raise NotImplementedError( + "Authentication requires async execution. Use async_run() instead." + ) + + async def async_run(self, service: str, reason: str) -> str: + """ + Request user authentication for a service. + + Args: + service: Service name (e.g., "github", "slack") + reason: User-friendly explanation of why auth is needed + + Returns: + Status message indicating auth flow initiated + """ + challenge = next( + (c for c in self._challenges if c["server"] == service), + None, + ) + + if not challenge: + return f"Service '{service}' is already authenticated or not configured." + + try: + result = await self._auth_handler.handle_auth_request( + service=service, + reason=reason, + challenge=challenge, + ) + return result + except Exception as e: + logger.error(f"Handler error: {e}", exc_info=True) + # Don't expose internal exception details to agent + return "Failed to initiate authorization. Please try again or contact support." + + # Create args schema for the auth tool + class RequestAuthInput(BaseModel): + """Input for request_authentication tool.""" + + service: str = Field( + description=f"Service name. Available services: {', '.join(pending_services)}" + ) + reason: str = Field( + description="User-friendly explanation of why you need access (e.g., 'To analyze your GitHub pull requests')" + ) + + RequestAuthenticationTool.args_schema = RequestAuthInput + + tool = RequestAuthenticationTool( + auth_handler=self._auth_tool_handler, + challenges=self._pending_challenges, + ) + + return [tool] + + +def create_client( + mcp_client: Client, + auth_tool_handler: AuthToolHandler | None = None, + auth_hook_closure: Callable[[], Awaitable[None]] | None = None, +) -> CrewAIClient: + """ + Get CrewAI agents adapter for MCP client. + + Use as context manager for automatic lifecycle management. + + Args: + mcp_client: KeycardAI MCP client + auth_tool_handler: Optional custom handler for auth requests. + Subclass AuthToolHandler to customize how auth links are sent. + Default: DefaultAuthToolHandler (returns message for agent) + auth_hook_closure: Optional async function called when auth is needed + + Returns: + CrewAI client adapter + + Example - Basic usage: + >>> from keycardai.agents.crewai_agents import create_client + >>> from keycardai.mcp.client import Client as MCPClient + >>> from crewai import Crew, Agent, Task + >>> + >>> async with create_client(mcp_client) as client: + ... tools = await client.get_tools() + ... auth_tools = await client.get_auth_tools() + ... + ... agent = Agent( + ... role="GitHub Expert", + ... goal="Analyze pull requests", + ... backstory=client.get_system_prompt("You are a code review expert"), + ... tools=tools + auth_tools, + ... ) + ... + ... crew = Crew(agents=[agent], tasks=[...]) + ... result = crew.kickoff() + + Example - With custom auth handler: + >>> class SlackAuthHandler(AuthToolHandler): + ... async def handle_auth_request(self, service, reason, challenge): + ... # Send auth link to Slack channel + ... await slack_client.post_message(channel_id, challenge['auth_url']) + ... return f"Authorization link sent to Slack" + >>> + >>> handler = SlackAuthHandler() + >>> async with create_client(mcp_client, auth_tool_handler=handler) as client: + ... # Auth links will be sent to Slack + """ + return CrewAIClient(mcp_client, auth_tool_handler, auth_hook_closure) diff --git a/packages/agents/tests/__init__.py b/packages/agents/tests/__init__.py new file mode 100644 index 0000000..e4e572b --- /dev/null +++ b/packages/agents/tests/__init__.py @@ -0,0 +1 @@ +"""Tests for keycardai-agents package.""" diff --git a/packages/agents/tests/test_import.py b/packages/agents/tests/test_import.py new file mode 100644 index 0000000..897bca8 --- /dev/null +++ b/packages/agents/tests/test_import.py @@ -0,0 +1,35 @@ +"""Basic smoke test for keycardai-agents package.""" + +import pytest + +# Note: These tests require crewai to be installed +# Run with: uv run --with crewai pytest tests/ + +pytest.importorskip("crewai") + + +def test_import_package() -> None: + """Test that the package can be imported.""" + from keycardai.agents import CrewAIClient, create_client + + assert CrewAIClient is not None + assert create_client is not None + + +def test_import_crewai_agents() -> None: + """Test that crewai_agents module can be imported.""" + from keycardai.agents import crewai_agents + + assert crewai_agents is not None + assert hasattr(crewai_agents, "CrewAIClient") + assert hasattr(crewai_agents, "create_client") + assert hasattr(crewai_agents, "AuthToolHandler") + + +def test_package_has_all() -> None: + """Test that __all__ is properly defined.""" + import keycardai.agents + + assert hasattr(keycardai.agents, "__all__") + assert "CrewAIClient" in keycardai.agents.__all__ + assert "create_client" in keycardai.agents.__all__ diff --git a/pyproject.toml b/pyproject.toml index 4eb1474..f8f4f3b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -61,6 +61,7 @@ exclude = [] keycardai-oauth = { workspace = true } keycardai-mcp-fastmcp = { workspace = true } keycardai-mcp = { workspace = true } +keycardai-agents = { workspace = 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b/packages/agents/src/keycardai/agents/crewai_agents.py @@ -46,7 +46,7 @@ except ImportError: raise ImportError( "CrewAI is not installed. Install it with: pip install 'keycardai-agents[crewai]'" - ) + ) from None from keycardai.mcp.client import Client From 2044d827b76af9be1e2df7c9e01b1230d59c9bdc Mon Sep 17 00:00:00 2001 From: Larry-Osakwe Date: Thu, 4 Dec 2025 10:17:44 -0800 Subject: [PATCH 3/3] feat(keycardai-mcp): add CrewAI integration for agent frameworks - Add CrewAI adapter to client integrations directory - Support for CrewAI agents with secure MCP tool access - No token passing - agents never receive raw API tokens - Fresh token fetched per API call through Keycard - Follows established pattern with LangChain and OpenAI integrations - Deleted separate packages/agents package (not needed) - Added optional dependencies: crewai and agents extras - Added tests for CrewAI integration imports --- packages/agents/CHANGELOG.md | 12 - packages/agents/README.md | 297 ------------------ packages/agents/pyproject.toml | 133 -------- packages/agents/src/keycardai/__init__.py | 2 - .../agents/src/keycardai/agents/__init__.py | 5 - packages/agents/tests/__init__.py | 1 - packages/agents/tests/test_import.py | 35 --- packages/mcp/pyproject.toml | 5 + .../mcp/src/keycardai/mcp/client/README.md | 108 ++++++- .../mcp/client/integrations/__init__.py | 7 + .../mcp/client/integrations}/crewai_agents.py | 20 +- .../mcp/client/integrations/__init__.py | 0 .../client/integrations/test_crewai_agents.py | 37 +++ pyproject.toml | 1 - uv.lock | 62 ++-- 15 files changed, 177 insertions(+), 548 deletions(-) delete mode 100644 packages/agents/CHANGELOG.md delete mode 100644 packages/agents/README.md delete mode 100644 packages/agents/pyproject.toml delete mode 100644 packages/agents/src/keycardai/__init__.py delete mode 100644 packages/agents/src/keycardai/agents/__init__.py delete mode 100644 packages/agents/tests/__init__.py delete mode 100644 packages/agents/tests/test_import.py rename packages/{agents/src/keycardai/agents => mcp/src/keycardai/mcp/client/integrations}/crewai_agents.py (94%) create mode 100644 packages/mcp/tests/keycardai/mcp/client/integrations/__init__.py create mode 100644 packages/mcp/tests/keycardai/mcp/client/integrations/test_crewai_agents.py diff --git a/packages/agents/CHANGELOG.md b/packages/agents/CHANGELOG.md deleted file mode 100644 index 58efb32..0000000 --- a/packages/agents/CHANGELOG.md +++ /dev/null @@ -1,12 +0,0 @@ -## 0.1.0-keycardai-agents (2025-12-03) - -### Features - -- feat(keycardai-agents): initial release -- CrewAI integration with secure MCP tool access -- No token passing - agents never receive raw API tokens -- Fresh token fetched per API call through Keycard -- Authentication awareness with auth request tools -- Automatic tool conversion from MCP to CrewAI BaseTool format -- Configurable auth handlers for custom authentication flows -- System prompt generation with auth context diff --git a/packages/agents/README.md b/packages/agents/README.md deleted file mode 100644 index c60817c..0000000 --- a/packages/agents/README.md +++ /dev/null @@ -1,297 +0,0 @@ -# KeycardAI Agents SDK - -Keycard integration for AI agent frameworks (CrewAI) with secure MCP tool access. - -## Overview - -The `keycardai-agents` package provides clean integrations between Keycard's secure MCP client and popular agent frameworks. It follows these security principles: - -1. **No Token Passing**: Agents never receive raw API tokens -2. **Fresh Tokens**: Each tool call fetches a fresh token through Keycard -3. **User Attribution**: All API calls are logged with user identity -4. **Auth Awareness**: Agents can request authentication when needed - -## Installation - -```bash -# For CrewAI support -pip install keycardai-agents[crewai] - -# Or install all extras -pip install keycardai-agents[all] -``` - -## Quick Start - CrewAI - -```python -import asyncio -from crewai import Agent, Crew, Task -from keycardai.agents.crewai_agents import create_client -from keycardai.mcp.client import Client as MCPClient - -async def main(): - # 1. Configure MCP client to connect to your MCP servers - mcp_config = { - "mcpServers": { - "github": { - "command": "uvx", - "args": ["keycardai-mcp-fastmcp", "--project-dir", "~/your-mcp-server"], - } - } - } - mcp_client = MCPClient(mcp_config) - - # 2. Create Keycard CrewAI adapter - async with create_client(mcp_client) as client: - # 3. Get Keycard-secured tools (NO TOKENS!) - tools = await client.get_tools() - auth_tools = await client.get_auth_tools() - - # 4. Create agents with secured tools - agent = Agent( - role="GitHub Expert", - goal="Analyze pull requests", - backstory=client.get_system_prompt("You are a code review expert"), - tools=tools + auth_tools, # Keycard-secured tools - ) - - # 5. Define and run tasks - task = Task( - description="Analyze PR #123 from repo owner/repo", - expected_output="Detailed PR analysis", - agent=agent, - ) - - crew = Crew(agents=[agent], tasks=[task]) - result = crew.kickoff() - print(result) - -asyncio.run(main()) -``` - -## Architecture - -### The Wrong Way (What NOT to Do) - -```python -# ❌ WRONG: Passing tokens directly to agents -github_token = get_token_from_keycard() # Token fetched once -agent = Agent( - role="GitHub Expert", - tools=create_github_tools(github_token), # Token embedded in tools -) -# Problems: -# - Agent has unfettered access to token -# - Token can expire during execution -# - No per-call logging or authorization -# - Keycard is just an "auth orchestrator" -``` - -### The Right Way (Keycard Integration) - -```python -# ✅ CORRECT: Tools call through MCP client -async with create_client(mcp_client) as client: - tools = await client.get_tools() # Tools with MCP client reference - agent = Agent(role="GitHub Expert", tools=tools) - # Each tool call: - # 1. Agent invokes tool - # 2. Tool calls mcp_client.call_tool() - # 3. MCP client calls MCP server - # 4. MCP server requests fresh token from Keycard - # 5. API call is made with fresh token - # 6. Call is logged with user attribution -``` - -## Key Components - -### CrewAIClient - -The main adapter class that wraps an MCP client and provides CrewAI-compatible tools. - -```python -from keycardai.agents.crewai_agents import CrewAIClient, create_client - -async with create_client(mcp_client) as client: - # Get tools from authenticated MCP servers - tools = await client.get_tools() # List[BaseTool] - - # Get authentication request tools - auth_tools = await client.get_auth_tools() # List[BaseTool] - - # Get system prompt with auth context - prompt = client.get_system_prompt("You are helpful") # str -``` - -### Tool Conversion - -MCP tools are automatically converted to CrewAI `BaseTool` instances: - -- **Async Execution**: Tools use `async_run()` for async MCP calls -- **Schema Conversion**: JSON schemas converted to Pydantic models -- **Error Handling**: Errors are caught and returned as strings -- **Result Formatting**: MCP results formatted for agent consumption - -### Authentication Flow - -When an MCP server requires authentication: - -1. **Auth Detection**: Client detects pending auth challenges on connect -2. **Auth Tool**: `request_authentication` tool is added to agent toolset -3. **Agent Request**: Agent can call the tool when user needs a service -4. **Auth Handler**: Configurable handler sends auth link to user -5. **Token Refresh**: After auth, tools automatically use new tokens - -```python -# Custom auth handler example -from keycardai.agents.crewai_agents import AuthToolHandler - -class SlackAuthHandler(AuthToolHandler): - async def handle_auth_request(self, service, reason, challenge): - # Send auth link to Slack - await slack_client.post_message( - channel=channel_id, - text=f"Please authorize {service}: {challenge['auth_url']}" - ) - return f"Authorization link sent to Slack channel" - -async with create_client(mcp_client, auth_tool_handler=SlackAuthHandler()) as client: - # Auth requests will be sent to Slack - tools = await client.get_tools() -``` - -## Advanced Usage - -### Multi-Agent Crews - -```python -async with create_client(mcp_client) as client: - tools = await client.get_tools() - - # Agent 1: Data fetcher - fetcher = Agent( - role="Data Fetcher", - goal="Fetch information from APIs", - tools=tools, - ) - - # Agent 2: Analyzer - analyzer = Agent( - role="Data Analyzer", - goal="Analyze fetched data", - tools=tools, # Same tools, but each call is independently authorized - ) - - # Tasks with context passing - fetch_task = Task( - description="Fetch PR #123", - agent=fetcher, - ) - - analyze_task = Task( - description="Analyze the PR data", - agent=analyzer, - context=[fetch_task], # Uses fetcher's output - ) - - crew = Crew( - agents=[fetcher, analyzer], - tasks=[fetch_task, analyze_task], - ) - result = crew.kickoff() -``` - -### Custom System Prompts - -```python -async with create_client(mcp_client) as client: - # Default auth-aware prompt - default_prompt = client.get_system_prompt("You are helpful") - - # Custom auth prompt - client.auth_prompt = """ - **IMPORTANT**: Some services need authorization. - Use the request_authentication tool with clear reasoning. - """ - custom_prompt = client.get_system_prompt("You are helpful") -``` - -### Tool Caching - -Tools are cached after first load for performance: - -```python -async with create_client(mcp_client) as client: - tools1 = await client.get_tools() # Fetches from MCP servers - tools2 = await client.get_tools() # Returns cached tools - - # To force refresh, reconnect: - await mcp_client.disconnect() - await mcp_client.connect() - tools3 = await client.get_tools() # Fresh fetch -``` - -## Examples - -Complete working examples with multi-agent crews, Keycard-secured API access, no token passing, and auth-aware agents will be added in future releases. - -## Comparison with Other Integrations - -### LangChain Integration - -For LangChain, use the existing `keycardai-mcp` integration: - -```python -from keycardai.mcp.client.integrations import langchain_agents - -async with langchain_agents.create_client(mcp_client) as client: - tools = await client.get_tools() # LangChain StructuredTool objects - # Use with LangChain agents -``` - -### OpenAI Agents Integration - -For OpenAI Agents SDK, use the `keycardai-mcp` integration: - -```python -from keycardai.mcp.client.integrations import openai_agents - -async with openai_agents.create_client(mcp_client) as client: - tools = await client.get_tools() # OpenAI tool schemas - # Use with OpenAI agents -``` - -## Framework Comparison - -| Framework | Package | Tool Format | Agent Type | -|-----------|---------|-------------|------------| -| CrewAI | `keycardai-agents[crewai]` | `BaseTool` | Role-based | -| LangChain | `keycardai-mcp` | `StructuredTool` | Conversational | -| OpenAI Agents | `keycardai-mcp` | OpenAI schema | Function calling | - -## Development - -```bash -# Install in development mode -cd python-sdk/packages/agents -pip install -e ".[test]" - -# Run tests -pytest - -# Run type checking -mypy src/keycardai/agents - -# Run linting -ruff check src/keycardai/agents -``` - -## License - -MIT - -## Links - -- [GitHub Repository](https://github.com/keycardai/python-sdk) -- [Documentation](https://docs.keycardai.com) -- [Keycard Platform](https://keycard.ai) diff --git a/packages/agents/pyproject.toml b/packages/agents/pyproject.toml deleted file mode 100644 index d9f6705..0000000 --- a/packages/agents/pyproject.toml +++ /dev/null @@ -1,133 +0,0 @@ -[project] -name = "keycardai-agents" -dynamic = ["version"] -description = "Keycard integration for AI agent frameworks (CrewAI) with secure MCP tool access" -readme = "README.md" -requires-python = ">=3.10" -license = { text = "MIT" } -authors = [{ name = "Keycard", email = "support@keycard.ai" }] -dependencies = [ - "keycardai-mcp>=0.17.0", - "pydantic>=2.11.7", - "nest-asyncio>=1.6.0", -] -keywords = ["agents", "crewai", "mcp", "authentication", "authorization", "ai", "llm"] -classifiers = [ - "Development Status :: 3 - Alpha", - "Intended Audience :: Developers", - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.10", - "Programming Language :: Python :: 3.11", - "Programming Language :: Python :: 3.12", - "Programming Language :: Python :: 3.13", - "Operating System :: OS Independent", - "Topic :: Software Development :: Libraries :: Python Modules", - "Topic :: Security", - "Topic :: Scientific/Engineering :: Artificial Intelligence", - "License :: OSI Approved :: MIT License", -] - -[project.optional-dependencies] -crewai = [ - "crewai>=0.86.0", -] -all = [ - "crewai>=0.86.0", -] -test = [ - "pytest>=8.4.1", - "pytest-asyncio>=1.1.0", - "pytest-cov>=6.2.1", - "pytest-timeout>=2.3.1", - "crewai>=0.86.0", -] - -[project.urls] -Homepage = "https://github.com/keycardai/python-sdk" -Repository = "https://github.com/keycardai/python-sdk" -Documentation = "https://docs.keycardai.com" -Issues = "https://github.com/keycardai/python-sdk/issues" - -[build-system] -requires = ["hatchling", "uv-dynamic-versioning"] -build-backend = "hatchling.build" - -[tool.hatch.version] -source = "uv-dynamic-versioning" - -[tool.uv-dynamic-versioning] -vcs = "git" -pattern = "(?P\\d+\\.\\d+\\.\\d+)-keycardai-agents" -style = "pep440" - -[[tool.uv.index]] -name = "testpypi" -url = "https://test.pypi.org/simple/" -publish-url = "https://test.pypi.org/legacy/" -explicit = true - -[tool.uv.sources] -keycardai-mcp = { workspace = true } - -[tool.hatch.build.targets.wheel] -packages = ["src/keycardai"] - -[tool.ruff] -line-length = 88 -target-version = "py310" - -[tool.ruff.lint] -select = [ - "E", # pycodestyle errors - "W", # pycodestyle warnings - "F", # pyflakes - "I", # isort - "B", # flake8-bugbear - "C4", # flake8-comprehensions - "UP", # pyupgrade -] -ignore = [ - "E501", # line too long, we'll handle case by case -] -isort = { combine-as-imports = true, known-first-party = ["keycardai"] } - -[tool.ruff.lint.per-file-ignores] -"tests/**/*.py" = ["T20"] - -[tool.mypy] -strict = true -disallow_incomplete_defs = false -disallow_untyped_defs = false -disallow_untyped_calls = false - -[[tool.mypy.overrides]] -module = "tests.*" -disallow_untyped_defs = false - -[tool.coverage.run] -source = ["tests", "src/keycardai"] - -[tool.coverage.report] -show_missing = true -exclude_also = [ - "pragma: no cover", - "if TYPE_CHECKING:", - "@abc.abstractmethod", - "raise NotImplementedError", -] - -[tool.pytest.ini_options] -testpaths = ["tests"] -addopts = "-ra -q" - -[tool.commitizen] -name = "cz_customize" -version = "0.1.0" -tag_format = "${version}-keycardai-agents" -ignored_tag_formats = ["${version}-*"] -update_changelog_on_bump = true -bump_message = "bump: keycardai-agents $current_version → $new_version" -major_version_zero = true - -[tool.commitizen.customize] -changelog_pattern = "^(feat|fix|refactor|perf|test|build|ci|revert)\\(keycardai-agents\\)(!)?:" diff --git a/packages/agents/src/keycardai/__init__.py b/packages/agents/src/keycardai/__init__.py deleted file mode 100644 index 8d4780a..0000000 --- a/packages/agents/src/keycardai/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -# Namespace package - allows keycardai.mcp and keycardai.agents to coexist -__path__ = __import__('pkgutil').extend_path(__path__, __name__) diff --git a/packages/agents/src/keycardai/agents/__init__.py b/packages/agents/src/keycardai/agents/__init__.py deleted file mode 100644 index c002b68..0000000 --- a/packages/agents/src/keycardai/agents/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -"""Keycard AI integration for agent frameworks.""" - -from keycardai.agents.crewai_agents import CrewAIClient, create_client - -__all__ = ["CrewAIClient", "create_client"] diff --git a/packages/agents/tests/__init__.py b/packages/agents/tests/__init__.py deleted file mode 100644 index e4e572b..0000000 --- a/packages/agents/tests/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""Tests for keycardai-agents package.""" diff --git a/packages/agents/tests/test_import.py b/packages/agents/tests/test_import.py deleted file mode 100644 index 897bca8..0000000 --- a/packages/agents/tests/test_import.py +++ /dev/null @@ -1,35 +0,0 @@ -"""Basic smoke test for keycardai-agents package.""" - -import pytest - -# Note: These tests require crewai to be installed -# Run with: uv run --with crewai pytest tests/ - -pytest.importorskip("crewai") - - -def test_import_package() -> None: - """Test that the package can be imported.""" - from keycardai.agents import CrewAIClient, create_client - - assert CrewAIClient is not None - assert create_client is not None - - -def test_import_crewai_agents() -> None: - """Test that crewai_agents module can be imported.""" - from keycardai.agents import crewai_agents - - assert crewai_agents is not None - assert hasattr(crewai_agents, "CrewAIClient") - assert hasattr(crewai_agents, "create_client") - assert hasattr(crewai_agents, "AuthToolHandler") - - -def test_package_has_all() -> None: - """Test that __all__ is properly defined.""" - import keycardai.agents - - assert hasattr(keycardai.agents, "__all__") - assert "CrewAIClient" in keycardai.agents.__all__ - assert "create_client" in keycardai.agents.__all__ diff --git a/packages/mcp/pyproject.toml b/packages/mcp/pyproject.toml index ac59a8f..589283a 100644 --- a/packages/mcp/pyproject.toml +++ b/packages/mcp/pyproject.toml @@ -34,6 +34,10 @@ classifiers = [ ] [project.optional-dependencies] +crewai = [ + "crewai>=0.86.0", + "nest-asyncio>=1.6.0", +] test = [ "pytest>=8.4.1", "pytest-asyncio>=1.1.0", @@ -44,6 +48,7 @@ test = [ "openai-agents>=0.5.1", "langchain>=1.0.5", "langchain-openai>=1.0.2", + "crewai>=0.86.0", ] [project.urls] diff --git a/packages/mcp/src/keycardai/mcp/client/README.md b/packages/mcp/src/keycardai/mcp/client/README.md index 2fbc635..33b63b2 100644 --- a/packages/mcp/src/keycardai/mcp/client/README.md +++ b/packages/mcp/src/keycardai/mcp/client/README.md @@ -10,7 +10,7 @@ The Keycard MCP Client provides a simple, type-safe way to connect to MCP server - 🔐 **Automatic OAuth 2.0 flows** (PKCE with dynamic client registration) - 🏢 **Multi-user support** with isolated contexts - ☁️ **Serverless-ready** with stateless execution support -- 🤖 **AI agent integrations** (OpenAI Agents, LangChain) +- 🤖 **AI agent integrations** (OpenAI Agents, LangChain, CrewAI) - 💾 **Flexible storage** (in-memory, SQLite, custom backends) - 🔒 **Type-safe** with full protocol support @@ -22,14 +22,21 @@ The Keycard MCP Client provides a simple, type-safe way to connect to MCP server ### Installation +**Base installation** (includes LangChain and OpenAI Agents support): + ```bash uv init --package mcp-cli && cd mcp-cli +uv add keycardai-mcp ``` +**With CrewAI support** (requires additional dependencies): + ```bash -uv add keycardai-mcp +uv add "keycardai-mcp[crewai]" ``` +> **Why the `[crewai]` extra?** CrewAI requires `nest-asyncio` to bridge CrewAI's synchronous tool interface with MCP's asynchronous client. LangChain and OpenAI Agents have native async support and work with the base installation. + ### Basic Usage (CLI/Desktop Apps) For simple command-line tools or desktop applications, create a file `src/mcp_cli/__init__.py`: @@ -610,6 +617,18 @@ Follow the authorization link, and then refresh the page. It should show the too ## AI Agent Integrations +The MCP client provides integrations for popular AI agent frameworks. Each framework has different async support: + +| Framework | Installation | Extra Required? | Why | +|-----------|-------------|-----------------|-----| +| **LangChain** | `uv add keycardai-mcp langchain` | No | Native async support via `coroutine=` parameter | +| **OpenAI Agents** | `uv add keycardai-mcp openai-agents` | No | Native async support | +| **CrewAI** | `uv add "keycardai-mcp[crewai]"` | **Yes** | Requires `nest-asyncio` for sync/async bridge | + +> **Technical Note:** CrewAI tools use synchronous methods (`_run()`), while MCP clients are async. The `[crewai]` extra includes `nest-asyncio` to enable nested event loops for seamless integration. + +--- + ### How Authentication Works with AI Agents The MCP client provides AI framework integrations that automatically handle authentication flows. Here's how it works: @@ -835,6 +854,91 @@ Run the OpenAI agent: uv run mcp-openai ``` +### CrewAI + +Install dependencies: + +```bash +uv add "keycardai-mcp[crewai]" +``` + +Set your OpenAI API key: + +```bash +export OPENAI_API_KEY="sk-..." +``` + +Create `src/mcp_crewai/__init__.py`: + +```python +import asyncio +from crewai import Agent, Task, Crew +from langchain_openai import ChatOpenAI + +from keycardai.mcp.client import Client +from keycardai.mcp.client.integrations.crewai_agents import CrewAIClient + +servers = { + "my-server": { + "url": "http://localhost:7878/mcp", + "transport": "http", + "auth": {"type": "oauth"} + } +} + +async def run(): + async with Client(servers) as mcp_client: + # Wrap MCP client for CrewAI + async with CrewAIClient(mcp_client) as crewai_client: + # Get tools converted to CrewAI format + tools = await crewai_client.get_tools() + print(f"Available tools: {len(tools)}") + + # Get system prompt + system_prompt = crewai_client.get_system_prompt( + "You are a helpful assistant with access to MCP tools." + ) + + # Create CrewAI agent + llm = ChatOpenAI(model="gpt-4o-mini", temperature=0) + agent = Agent( + role="MCP Assistant", + goal=system_prompt, + backstory="An AI assistant that can use MCP tools to help users.", + tools=tools, + llm=llm, + verbose=True + ) + + # Create task + task = Task( + description="List the available tools and use one of them to demonstrate functionality.", + expected_output="A summary of the tools and the result of using one tool.", + agent=agent + ) + + # Create and run crew + crew = Crew( + agents=[agent], + tasks=[task], + verbose=True + ) + + print("\nStarting CrewAI crew...") + result = crew.kickoff() + print(f"\nCrew result: {result}") + +def main(): + """Entry point for CrewAI agent.""" + asyncio.run(run()) +``` + +Run the CrewAI agent: + +```bash +uv run mcp-crewai +``` + --- ## Troubleshooting diff --git a/packages/mcp/src/keycardai/mcp/client/integrations/__init__.py b/packages/mcp/src/keycardai/mcp/client/integrations/__init__.py index 0fedd13..132e21a 100644 --- a/packages/mcp/src/keycardai/mcp/client/integrations/__init__.py +++ b/packages/mcp/src/keycardai/mcp/client/integrations/__init__.py @@ -32,3 +32,10 @@ except ImportError: pass +# Try to import CrewAI integration +try: + from . import crewai_agents # noqa: F401 + __all__.extend(["crewai_agents"]) +except ImportError: + pass + diff --git a/packages/agents/src/keycardai/agents/crewai_agents.py b/packages/mcp/src/keycardai/mcp/client/integrations/crewai_agents.py similarity index 94% rename from packages/agents/src/keycardai/agents/crewai_agents.py rename to packages/mcp/src/keycardai/mcp/client/integrations/crewai_agents.py index edacdfa..0b29dbd 100644 --- a/packages/agents/src/keycardai/agents/crewai_agents.py +++ b/packages/mcp/src/keycardai/mcp/client/integrations/crewai_agents.py @@ -45,7 +45,7 @@ from crewai.tools import BaseTool except ImportError: raise ImportError( - "CrewAI is not installed. Install it with: pip install 'keycardai-agents[crewai]'" + "CrewAI is not installed. Install it with: pip install 'keycardai-mcp[crewai]'" ) from None from keycardai.mcp.client import Client @@ -281,33 +281,24 @@ def _convert_mcp_tool_to_crewai( tool_description = mcp_tool.description or f"Tool {tool_name} from {server_name}" input_schema = mcp_tool.inputSchema if hasattr(mcp_tool, "inputSchema") else {} - logger.debug(f"[{tool_name}] Converting MCP tool with input_schema: {input_schema}") # Create args schema from MCP tool schema tool_args_schema = None if input_schema and isinstance(input_schema, dict): tool_args_schema = self._schema_to_pydantic(input_schema, tool_name) - logger.debug(f"[{tool_name}] Created args_schema: {tool_args_schema}") - else: - logger.debug(f"[{tool_name}] No input_schema found or invalid format") # Define common methods as closures def _run_impl(self, *args, **kwargs) -> str: """Synchronous run - wraps async execution for CrewAI compatibility.""" - logger.debug(f"[{tool_name}] _run called with args: {args}, kwargs: {kwargs}") return asyncio.run(_async_run_impl(self, *args, **kwargs)) async def _async_run_impl(self, *args, **kwargs) -> str: """Invoke the MCP tool asynchronously.""" - logger.debug(f"[{tool_name}] async_run called with args: {args}, kwargs: {kwargs}") - # If args are passed (single dict argument from Pydantic model), convert to kwargs if args and len(args) == 1 and isinstance(args[0], dict): kwargs = args[0] - logger.debug(f"[{tool_name}] Converted args[0] to kwargs: {kwargs}") try: - logger.debug(f"[{tool_name}] Calling MCP client.call_tool with: tool_name={tool_name}, kwargs={kwargs}, server_name={self._server_name}") result = await self._mcp_client.call_tool( tool_name, kwargs, server_name=self._server_name ) @@ -357,13 +348,10 @@ def __init__(self, mcp_client: Client, server_name: str, **kwargs): def invoke(self, input: str | dict, config: dict | None = None, **kwargs) -> str: """Bridge CrewAI's invoke() convention to our _run() implementation.""" - logger.debug(f"[{tool_name}] invoke called with input type: {type(input)}, value: {input}") - # Parse JSON string if needed if isinstance(input, str): try: input = json.loads(input) - logger.debug(f"[{tool_name}] Parsed JSON string to: {input}") except json.JSONDecodeError as e: error_msg = f"Error: Failed to parse arguments as JSON: {e}" logger.error(f"[{tool_name}] {error_msg}") @@ -373,14 +361,12 @@ def invoke(self, input: str | dict, config: dict | None = None, **kwargs) -> str try: validated_args = self.args_schema.model_validate(input) arguments = validated_args.model_dump() - logger.debug(f"[{tool_name}] Validated arguments: {arguments}") except Exception as e: error_msg = f"Error: Arguments validation failed: {e}" logger.error(f"[{tool_name}] {error_msg}") return error_msg # Call existing _run implementation - logger.debug(f"[{tool_name}] Calling _run with validated arguments") return self._run(**arguments) def _run(self, *args, **kwargs) -> str: @@ -402,13 +388,10 @@ def __init__(self, mcp_client: Client, server_name: str, **kwargs): def invoke(self, input: str | dict, config: dict | None = None, **kwargs) -> str: """Bridge CrewAI's invoke() convention to our _run() implementation.""" - logger.debug(f"[{tool_name}] invoke called with input type: {type(input)}, value: {input}") - # Parse JSON string if needed if isinstance(input, str): try: input = json.loads(input) - logger.debug(f"[{tool_name}] Parsed JSON string to: {input}") except json.JSONDecodeError as e: error_msg = f"Error: Failed to parse arguments as JSON: {e}" logger.error(f"[{tool_name}] {error_msg}") @@ -416,7 +399,6 @@ def invoke(self, input: str | dict, config: dict | None = None, **kwargs) -> str # No schema validation needed - pass directly if isinstance(input, dict): - logger.debug(f"[{tool_name}] Calling _run with arguments: {input}") return self._run(**input) else: error_msg = f"Error: Expected dict or JSON string, got {type(input)}" diff --git a/packages/mcp/tests/keycardai/mcp/client/integrations/__init__.py b/packages/mcp/tests/keycardai/mcp/client/integrations/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/packages/mcp/tests/keycardai/mcp/client/integrations/test_crewai_agents.py b/packages/mcp/tests/keycardai/mcp/client/integrations/test_crewai_agents.py new file mode 100644 index 0000000..38530d7 --- /dev/null +++ b/packages/mcp/tests/keycardai/mcp/client/integrations/test_crewai_agents.py @@ -0,0 +1,37 @@ +"""Basic smoke test for CrewAI integration.""" + +import pytest + +# Note: These tests require crewai to be installed +# Run with: uv run --with crewai pytest tests/ + +pytest.importorskip("crewai") + + +def test_import_crewai_integration() -> None: + """Test that the CrewAI integration can be imported.""" + from keycardai.mcp.client.integrations import crewai_agents + + assert crewai_agents is not None + assert hasattr(crewai_agents, "CrewAIClient") + assert hasattr(crewai_agents, "create_client") + assert hasattr(crewai_agents, "AuthToolHandler") + + +def test_import_crewai_client() -> None: + """Test that CrewAIClient can be imported directly.""" + from keycardai.mcp.client.integrations.crewai_agents import ( + CrewAIClient, + create_client, + ) + + assert CrewAIClient is not None + assert create_client is not None + + +def test_crewai_in_integrations_all() -> None: + """Test that crewai_agents is exported in integrations __all__.""" + from keycardai.mcp.client import integrations + + assert hasattr(integrations, "__all__") + assert "crewai_agents" in integrations.__all__ diff --git a/pyproject.toml b/pyproject.toml index f8f4f3b..4eb1474 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -61,7 +61,6 @@ exclude = [] keycardai-oauth = { workspace = true } keycardai-mcp-fastmcp = { workspace = true } keycardai-mcp = { workspace = true } -keycardai-agents = { workspace = true } [build-system] requires = ["hatchling", "uv-dynamic-versioning"] diff --git a/uv.lock b/uv.lock index b0a5cb3..407062d 100644 --- a/uv.lock +++ b/uv.lock @@ -10,7 +10,6 @@ resolution-markers = [ [manifest] members = [ "keycardai", - "keycardai-agents", "keycardai-mcp", "keycardai-mcp-fastmcp", "keycardai-oauth", @@ -1748,45 +1747,6 @@ dev = [ { name = "ruff", specifier = ">=0.12.10" }, ] -[[package]] -name = "keycardai-agents" -source = { editable = "packages/agents" } -dependencies = [ - { name = "keycardai-mcp" }, - { name = "nest-asyncio" }, - { name = "pydantic" }, -] - -[package.optional-dependencies] -all = [ - { name = "crewai" }, -] -crewai = [ - { name = "crewai" }, -] -test = [ - { name = "crewai" }, - { name = "pytest" }, - { name = "pytest-asyncio" }, - { name = "pytest-cov" }, - { name = "pytest-timeout" }, -] - -[package.metadata] -requires-dist = [ - { name = "crewai", marker = "extra == 'all'", specifier = ">=0.86.0" }, - { name = "crewai", marker = "extra == 'crewai'", specifier = ">=0.86.0" }, - { name = "crewai", marker = "extra == 'test'", specifier = ">=0.86.0" }, - { name = "keycardai-mcp", editable = "packages/mcp" }, - { name = "nest-asyncio", specifier = ">=1.6.0" }, - { name = "pydantic", specifier = ">=2.11.7" }, - { name = "pytest", marker = "extra == 'test'", specifier = ">=8.4.1" }, - { name = "pytest-asyncio", marker = "extra == 'test'", specifier = ">=1.1.0" }, - { name = "pytest-cov", marker = "extra == 'test'", specifier = ">=6.2.1" }, - { name = "pytest-timeout", marker = "extra == 'test'", specifier = ">=2.3.1" }, -] -provides-extras = ["all", "crewai", "test"] - [[package]] name = "keycardai-mcp" source = { editable = "packages/mcp" } @@ -1802,7 +1762,19 @@ dependencies = [ ] [package.optional-dependencies] +agents = [ + { name = "crewai" }, + { name = "langchain" }, + { name = "langchain-openai" }, + { name = "nest-asyncio" }, + { name = "openai-agents" }, +] +crewai = [ + { name = "crewai" }, + { name = "nest-asyncio" }, +] test = [ + { name = "crewai" }, { name = "fastmcp" }, { name = "keycardai-mcp-fastmcp" }, { name = "langchain" }, @@ -1818,14 +1790,22 @@ test = [ requires-dist = [ { name = "aiohttp", specifier = ">=3.11.11" }, { name = "aiosqlite", specifier = ">=0.20.0" }, + { name = "crewai", marker = "extra == 'agents'", specifier = ">=0.86.0" }, + { name = "crewai", marker = "extra == 'crewai'", specifier = ">=0.86.0" }, + { name = "crewai", marker = "extra == 'test'", specifier = ">=0.86.0" }, { name = "fastmcp", marker = "extra == 'test'", specifier = ">=2.13.0" }, { name = "httpx", specifier = ">=0.27.2" }, { name = "keycardai-mcp-fastmcp", marker = "extra == 'test'", editable = "packages/mcp-fastmcp" }, { name = "keycardai-oauth", editable = "packages/oauth" }, + { name = "langchain", marker = "extra == 'agents'", specifier = ">=1.0.5" }, { name = "langchain", marker = "extra == 'test'", specifier = ">=1.0.5" }, + { name = "langchain-openai", marker = "extra == 'agents'", specifier = ">=1.0.2" }, { name = "langchain-openai", marker = "extra == 'test'", specifier = ">=1.0.2" }, { name = "mcp", specifier = ">=1.13.1" }, { name = "nanoid", specifier = ">=2.0.0" }, + { name = "nest-asyncio", marker = "extra == 'agents'", specifier = ">=1.6.0" }, + { name = "nest-asyncio", marker = "extra == 'crewai'", specifier = ">=1.6.0" }, + { name = "openai-agents", marker = "extra == 'agents'", specifier = ">=0.5.1" }, { name = "openai-agents", marker = "extra == 'test'", specifier = ">=0.5.1" }, { name = "pydantic", specifier = ">=2.11.7" }, { name = "pytest", marker = "extra == 'test'", specifier = ">=8.4.1" }, @@ -1834,7 +1814,7 @@ requires-dist = [ { name = "pytest-timeout", marker = "extra == 'test'", specifier = ">=2.3.1" }, { name = "starlette", specifier = ">=0.47.3" }, ] -provides-extras = ["test"] +provides-extras = ["agents", "crewai", "test"] [[package]] name = "keycardai-mcp-fastmcp"