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updates to the README.md#4

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updates to the README.md#4
groupthinking wants to merge 45 commits intoadd-workflows-20260128-072952from
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This pull request makes minor updates to the README.md to clarify the project description and simplify the instructions for obtaining an xAI / Grok API key.

  • Updated project description to clarify that the agent acts based on thread context and reasoning, rather than just detecting mentions and routing reasoning.
  • Simplified the xAI / Grok API key instructions by removing the requirement for an X Premium+ subscription and streamlining the steps.

Removed redundant text from the introduction section.
Removed duplicate steps for creating and storing the xAI / Grok API key.
@groupthinking groupthinking marked this pull request as ready for review January 28, 2026 16:55
Copilot AI review requested due to automatic review settings January 28, 2026 16:55
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Summary of Changes

Hello @groupthinking, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request focuses on improving the clarity and accessibility of the project's documentation. It refines the core description of the X agent's functionality and simplifies the process for users to acquire necessary API keys, making the setup process smoother for new contributors.

Highlights

  • Project Description Clarification: The project description in the README.md has been updated to more accurately reflect that the X (Twitter) agent acts based on thread context and reasoning, rather than just detecting mentions and routing reasoning.
  • xAI / Grok API Key Instructions Simplification: The instructions for obtaining an xAI / Grok API key have been simplified by removing the prerequisite of an X Premium+ subscription and streamlining the steps from three to two.
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Code Review

This pull request updates the README.md to clarify the project description and simplify API key instructions. My review focuses on improving clarity and consistency. I've pointed out a minor typo in the description and a formatting inconsistency in one of the instructional lists. Applying these suggestions will enhance the readability of the documentation.

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Pull request overview

This pull request updates the README.md to clarify the project description and simplify the xAI/Grok API key setup instructions. The description now emphasizes that the agent acts based on thread context and reasoning rather than just detecting mentions, and the API key instructions have been streamlined by removing the Premium+ subscription requirement.

Changes:

  • Updated project description to better explain the agent's behavior as acting on context and reasoning
  • Simplified xAI/Grok API key instructions by removing Premium+ subscription requirement

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README.md Outdated
# MyXstack

This repository hosts a lightweight, step-by-step guide for setting up an autonomous X (Twitter) agent system that detects mentions, pulls thread context, and routes reasoning through Grok via the xMCP server. Follow the phases below to get from zero to a working "tag and watch" prototype.
This repository hosts a lightweight, step-by-step guide for setting up an autonomous X (Twitter) agent system that acts based on thread context & reasoning, through Grok via the xMCP server.
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The phrasing "acts based on thread context & reasoning, through Grok via the xMCP server" is awkward and unclear. Consider rewording to something clearer like "that acts on thread context and reasoning through Grok via the xMCP server" or "that uses thread context and Grok reasoning via the xMCP server to take actions".

Suggested change
This repository hosts a lightweight, step-by-step guide for setting up an autonomous X (Twitter) agent system that acts based on thread context & reasoning, through Grok via the xMCP server.
This repository hosts a lightweight, step-by-step guide for setting up an autonomous X (Twitter) agent system that uses thread context and Grok reasoning via the xMCP server to take actions.

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README.md Outdated
Comment on lines 23 to 24
. Visit <https://console.x.ai>, open the API keys section, and create a key that starts with `xai-`.
. Store the key securely.
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The list items are using periods instead of numbers. Lines 23-24 should start with "1." and "2." respectively to maintain consistency with all other numbered lists in the README (see lines 8-20, 32-72, etc.). The current format with bare periods creates broken list formatting.

Suggested change
. Visit <https://console.x.ai>, open the API keys section, and create a key that starts with `xai-`.
. Store the key securely.
1. Visit <https://console.x.ai>, open the API keys section, and create a key that starts with `xai-`.
2. Store the key securely.

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README.md Outdated
# MyXstack

This repository hosts a lightweight, step-by-step guide for setting up an autonomous X (Twitter) agent system that detects mentions, pulls thread context, and routes reasoning through Grok via the xMCP server. Follow the phases below to get from zero to a working "tag and watch" prototype.
This repository hosts a lightweight, step-by-step guide for setting up an autonomous X (Twitter) agent system that acts based on thread context & reasoning, through Grok via the xMCP server.
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There is an extra space between "that" and "acts". The text should read "agent system that acts" instead of "agent system that acts" (note the double space).

Suggested change
This repository hosts a lightweight, step-by-step guide for setting up an autonomous X (Twitter) agent system that acts based on thread context & reasoning, through Grok via the xMCP server.
This repository hosts a lightweight, step-by-step guide for setting up an autonomous X (Twitter) agent system that acts based on thread context & reasoning, through Grok via the xMCP server.

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Copilot AI and others added 4 commits January 28, 2026 17:03
Co-authored-by: groupthinking <154503486+groupthinking@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Copilot AI review requested due to automatic review settings January 28, 2026 17:14
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Pull request overview

Copilot reviewed 1 out of 1 changed files in this pull request and generated 1 comment.


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README.md Outdated
Comment on lines 23 to 24
. Visit <https://console.x.ai>, open the API keys section, and create a key that starts with `xai-`.
. Store the key securely.
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The list items are missing their numbering prefixes. The lines should start with "1." and "2." instead of just "." to maintain proper markdown list formatting.

Suggested change
. Visit <https://console.x.ai>, open the API keys section, and create a key that starts with `xai-`.
. Store the key securely.
1. Visit <https://console.x.ai>, open the API keys section, and create a key that starts with `xai-`.
2. Store the key securely.

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Copilot AI and others added 2 commits January 28, 2026 17:18
Co-authored-by: groupthinking <154503486+groupthinking@users.noreply.github.com>
Copilot AI review requested due to automatic review settings January 29, 2026 18:37
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Copilot reviewed 4 out of 4 changed files in this pull request and generated 1 comment.


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- name: Basic Syntax Check
run: |
echo "Running syntax validation..."
find . -name "*.js" -o -name "*.py" -o -name "*.ts" | xargs -I {} node -c {} || true
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The syntax check command uses node -c to check JavaScript/TypeScript files, but this will fail for Python files. The command finds .js, .py, and .ts files but only validates them with Node.js. Python files should be checked with a Python syntax checker (like python -m py_compile), and the || true at the end silently ignores all errors, making this check ineffective. Consider separating the validation by file type or removing unsupported file types from the check.

Suggested change
find . -name "*.js" -o -name "*.py" -o -name "*.ts" | xargs -I {} node -c {} || true
js_ts_files=$(find . \( -name "*.js" -o -name "*.ts" \))
if [ -n "$js_ts_files" ]; then
echo "$js_ts_files" | xargs -r -I {} node -c {}
fi
py_files=$(find . -name "*.py")
if [ -n "$py_files" ]; then
echo "$py_files" | xargs -r -I {} python -m py_compile {}
fi

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Copilot AI and others added 3 commits January 29, 2026 18:41
Co-authored-by: groupthinking <154503486+groupthinking@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Copilot AI review requested due to automatic review settings February 6, 2026 15:03
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Pull request overview

Copilot reviewed 13 out of 14 changed files in this pull request and generated 7 comments.

Comment on lines 27 to 70
@@ -61,12 +62,12 @@ export class GrokService {
const data: any = await response.json();
const analysisText = data.choices[0]?.message?.content || '';

// Use the root post ID from the thread, not the mention text
return this.parseGrokResponse(analysisText, thread.root_post.id);
// Use the mention post ID so replies target the specific post where the agent was mentioned
return this.parseGrokResponse(analysisText, mentionPostId);
} catch (error) {
console.error('Error calling Grok API:', error);
// Fallback to simulation
return this.simulateAnalysis(mention, thread);
return this.simulateAnalysis(mention, thread, mentionPostId);
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The PR description states updates are made to clarify that "the agent acts based on thread context and reasoning, rather than just detecting mentions and routing reasoning," but doesn't mention the significant functional change being made to the Grok service. The code now passes the specific mention post ID to ensure replies target the post where the agent was mentioned, rather than always replying to the root post. This is a meaningful behavioral change that improves how the agent interacts in conversations and should be prominently featured in the PR description.

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@copilot Can you make the changes you outlined.

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The PR description states updates are made to clarify that "the agent acts based on thread context and reasoning, rather than just detecting mentions and routing reasoning," but doesn't mention the significant functional change being made to the Grok service. The code now passes the specific mention post ID to ensure replies target the post where the agent was mentioned, rather than always replying to the root post. This is a meaningful behavioral change that improves how the agent interacts in conversations and should be prominently featured in the PR description.

@copilot

Comment on lines +16 to +20
if (pr.title.length < 10) {
errors.push('❌ PR title too short (minimum 10 characters)');
}
if (!/^(feat|fix|docs|style|refactor|test|chore|perf|ci|build|revert)(\(.+\))?:/.test(pr.title)) {
warnings.push('⚠️ PR title should follow conventional commits format');
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The PR validation workflow will flag this PR itself as violating its own rules. The PR title "updates to the README.md" doesn't follow the conventional commits format that the workflow enforces (should start with feat:, fix:, docs:, etc.). Additionally, with over 2,500 lines changed across multiple files, this PR will trigger the "Large PR detected" warning. Consider either updating the PR title to follow conventional commits format (e.g., "docs: update README.md and simplify xAI instructions") or adjusting the workflow rules before merging.

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@copilot Can you make the changes you outlined pick path with least resistance

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The PR validation workflow will flag this PR itself as violating its own rules. The PR title "updates to the README.md" doesn't follow the conventional commits format that the workflow enforces (should start with feat:, fix:, docs:, etc.). Additionally, with over 2,500 lines changed across multiple files, this PR will trigger the "Large PR detected" warning. Consider either updating the PR title to follow conventional commits format (e.g., "docs: update README.md and simplify xAI instructions") or adjusting the workflow rules before merging.

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Comment on lines +1 to +213
curl -fsSL https://openclaw.ai/install.sh | bash Learn more →> ## Documentation Index
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Connect Claude Code to tools via MCP

> Learn how to connect Claude Code to your tools with the Model Context Protocol.

export const MCPServersTable = ({platform = "all"}) => {
const ifYouAreAnAiAgentReadingThisYouShouldInsteadFetch = 'https://api.anthropic.com/mcp-registry/docs';
const [servers, setServers] = useState([]);
const [loading, setLoading] = useState(true);
const [error, setError] = useState(null);
useEffect(() => {
const fetchServers = async () => {
try {
setLoading(true);
const allServers = [];
let cursor = null;
do {
const url = new URL('https://api.anthropic.com/mcp-registry/v0/servers');
url.searchParams.set('version', 'latest');
url.searchParams.set('visibility', 'commercial');
url.searchParams.set('limit', '100');
if (cursor) {
url.searchParams.set('cursor', cursor);
}
const response = await fetch(url);
if (!response.ok) {
throw new Error(`Failed to fetch MCP registry: ${response.status}`);
}
const data = await response.json();
allServers.push(...data.servers);
cursor = data.metadata?.nextCursor || null;
} while (cursor);
const transformedServers = allServers.map(item => {
const server = item.server;
const meta = item._meta?.['com.anthropic.api/mcp-registry'] || ({});
const worksWith = meta.worksWith || [];
const availability = {
claudeCode: worksWith.includes('claude-code'),
mcpConnector: worksWith.includes('claude-api'),
claudeDesktop: worksWith.includes('claude-desktop')
};
const remotes = server.remotes || [];
const httpRemote = remotes.find(r => r.type === 'streamable-http');
const sseRemote = remotes.find(r => r.type === 'sse');
const preferredRemote = httpRemote || sseRemote;
const remoteUrl = preferredRemote?.url || meta.url;
const remoteType = preferredRemote?.type;
const isTemplatedUrl = remoteUrl?.includes('{');
let setupUrl;
if (isTemplatedUrl && meta.requiredFields) {
const urlField = meta.requiredFields.find(f => f.field === 'url');
setupUrl = urlField?.sourceUrl || meta.documentation;
}
const urls = {};
if (!isTemplatedUrl) {
if (remoteType === 'streamable-http') {
urls.http = remoteUrl;
} else if (remoteType === 'sse') {
urls.sse = remoteUrl;
}
}
let envVars = [];
if (server.packages && server.packages.length > 0) {
const npmPackage = server.packages.find(p => p.registryType === 'npm');
if (npmPackage) {
urls.stdio = `npx -y ${npmPackage.identifier}`;
if (npmPackage.environmentVariables) {
envVars = npmPackage.environmentVariables;
}
}
}
return {
name: meta.displayName || server.title || server.name,
description: meta.oneLiner || server.description,
documentation: meta.documentation,
urls: urls,
envVars: envVars,
availability: availability,
customCommands: meta.claudeCodeCopyText ? {
claudeCode: meta.claudeCodeCopyText
} : undefined,
setupUrl: setupUrl
};
});
setServers(transformedServers);
setError(null);
} catch (err) {
setError(err.message);
console.error('Error fetching MCP registry:', err);
} finally {
setLoading(false);
}
};
fetchServers();
}, []);
const generateClaudeCodeCommand = server => {
if (server.customCommands && server.customCommands.claudeCode) {
return server.customCommands.claudeCode;
}
const serverSlug = server.name.toLowerCase().replace(/[^a-z0-9]/g, '-');
if (server.urls.http) {
return `claude mcp add ${serverSlug} --transport http ${server.urls.http}`;
}
if (server.urls.sse) {
return `claude mcp add ${serverSlug} --transport sse ${server.urls.sse}`;
}
if (server.urls.stdio) {
const envFlags = server.envVars && server.envVars.length > 0 ? server.envVars.map(v => `--env ${v.name}=YOUR_${v.name}`).join(' ') : '';
const baseCommand = `claude mcp add ${serverSlug} --transport stdio`;
return envFlags ? `${baseCommand} ${envFlags} -- ${server.urls.stdio}` : `${baseCommand} -- ${server.urls.stdio}`;
}
return null;
};
if (loading) {
return <div>Loading MCP servers...</div>;
}
if (error) {
return <div>Error loading MCP servers: {error}</div>;
}
const filteredServers = servers.filter(server => {
if (platform === "claudeCode") {
return server.availability.claudeCode;
} else if (platform === "mcpConnector") {
return server.availability.mcpConnector;
} else if (platform === "claudeDesktop") {
return server.availability.claudeDesktop;
} else if (platform === "all") {
return true;
} else {
throw new Error(`Unknown platform: ${platform}`);
}
});
return <>
<style jsx>{`
.cards-container {
display: grid;
gap: 1rem;
margin-bottom: 2rem;
}
.server-card {
border: 1px solid var(--border-color, #e5e7eb);
border-radius: 6px;
padding: 1rem;
}
.command-row {
display: flex;
align-items: center;
gap: 0.25rem;
}
.command-row code {
font-size: 0.75rem;
overflow-x: auto;
}
`}</style>

<div className="cards-container">
{filteredServers.map(server => {
const claudeCodeCommand = generateClaudeCodeCommand(server);
const mcpUrl = server.urls.http || server.urls.sse;
const commandToShow = platform === "claudeCode" ? claudeCodeCommand : mcpUrl;
return <div key={server.name} className="server-card">
<div>
{server.documentation ? <a href={server.documentation}>
<strong>{server.name}</strong>
</a> : <strong>{server.name}</strong>}
</div>

<p style={{
margin: '0.5rem 0',
fontSize: '0.9rem'
}}>
{server.description}
</p>

{server.setupUrl && <p style={{
margin: '0.25rem 0',
fontSize: '0.8rem',
fontStyle: 'italic',
opacity: 0.7
}}>
Requires user-specific URL.{' '}
<a href={server.setupUrl} style={{
textDecoration: 'underline'
}}>
Get your URL here
</a>.
</p>}

{commandToShow && !server.setupUrl && <>
<p style={{
display: 'block',
fontSize: '0.75rem',
fontWeight: 500,
minWidth: 'fit-content',
marginTop: '0.5rem',
marginBottom: 0
}}>
{platform === "claudeCode" ? "Command" : "URL"}
</p>
<div className="command-row">
<code>
{commandToShow}
</code>
</div>
</>}
</div>;
})}
</div>
</>;
};
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This file appears to be copied documentation from Claude Code / Anthropic's MCP documentation and contains React/JSX code (lines 9-213) mixed with Markdown. The file has an unusual name pattern "*.instructions.md" which may not be intentional. Additionally, line 1 contains what looks like a malformed command "curl -fsSL https://openclaw.ai/install.sh | bash Learn more →>" that shouldn't be in a documentation file. This entire file appears to be accidentally added or improperly formatted documentation that doesn't belong in this repository.

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Comment on lines +1 to +336
# GitHub Copilot Instructions for MyXstack

## Repository Overview

MyXstack is an autonomous AI agent system for X (Twitter) that uses Grok AI via the xMCP (Model Context Protocol) server. The agent monitors mentions, analyzes conversations using AI, and autonomously responds with context-aware actions.

## Technology Stack

- **Language**: TypeScript (ES2022)
- **Runtime**: Node.js 18+
- **AI Service**: Grok (xAI API)
- **Protocol**: Model Context Protocol (MCP)
- **APIs**: X (Twitter) API v2
- **Build Tool**: TypeScript Compiler (tsc)

## Project Structure

```
src/
├── index.ts # Main entry point
├── examples.ts # Usage examples
├── types/ # TypeScript type definitions
├── services/
│ ├── config.ts # Configuration management
│ ├── xapi.ts # X API client
│ ├── grok.ts # Grok AI service
│ └── agent.ts # Autonomous agent orchestrator
└── mcp/
└── server.ts # xMCP server implementation
```

## Coding Standards

### TypeScript

- **Strict Mode**: Always maintain strict TypeScript compilation
- **Types**: Use explicit types; avoid `any` except when absolutely necessary
- **Async/Await**: Prefer async/await over raw promises
- **Error Handling**: Always wrap API calls in try-catch blocks
- **Null Safety**: Use optional chaining (`?.`) and nullish coalescing (`??`)
- **ES Modules**: Use ES module syntax (`import`/`export`), not CommonJS

### Naming Conventions

- **Classes**: PascalCase (e.g., `XAPIClient`, `AutonomousAgent`)
- **Interfaces/Types**: PascalCase (e.g., `AgentConfig`, `XApiResponse`)
- **Functions/Methods**: camelCase (e.g., `fetchMentions`, `analyzeAndDecide`)
- **Constants**: UPPER_SNAKE_CASE (e.g., `DEFAULT_POLLING_INTERVAL`)
- **Files**: kebab-case for multi-word (e.g., `x-api.ts`) or camelCase for single word

### Code Organization

- **Single Responsibility**: Each service/class should have one clear purpose
- **Interface Segregation**: Define clear interfaces for external dependencies
- **Dependency Injection**: Pass dependencies through constructors
- **Configuration**: All environment variables should be loaded via `config.ts`
- **Simulation Mode**: Support simulation/mock mode for all external API calls

### Documentation

- **Public Methods**: Add JSDoc comments explaining purpose, parameters, and return values
- **Complex Logic**: Add inline comments for non-obvious algorithms
- **Type Definitions**: Document interfaces with descriptions of each field
- **Examples**: Include usage examples in JSDoc for key functions

## Build and Development

### Building

```bash
npm run build # Compile TypeScript to dist/
npm run clean # Remove dist/ directory
```

### Running

```bash
npm start # Run compiled code
npm run dev # Build and run
npm run examples # Run usage examples
```

### Environment Variables

Required environment variables (see `.env.example`):
- `X_USERNAME`: X account username to monitor
- `X_BEARER_TOKEN`: X API bearer token for read operations
- `X_CONSUMER_KEY`, `X_CONSUMER_SECRET`: OAuth 1.0a credentials
- `X_ACCESS_TOKEN`, `X_ACCESS_TOKEN_SECRET`: OAuth user tokens
- `XAI_API_KEY`: xAI/Grok API key
- `POLLING_INTERVAL_MS`: Optional, defaults to 30000ms

**IMPORTANT**: Never commit credentials or `.env` files. Always use environment variables.

## Testing Strategy

### Current Status
- No formal test suite yet
- Manual testing via simulation mode
- Integration testing with real APIs in development

### When Adding Tests
- Place tests in `src/__tests__/` directory
- Use a standard testing framework (e.g., Jest, Vitest)
- Write unit tests for services
- Mock external API calls
- Test error handling paths

## API Integration Patterns

### X API Client (`xapi.ts`)

When adding new X API features:
1. Add method to `XAPIClient` class
2. Include simulation/mock mode support
3. Handle rate limiting gracefully
4. Parse and normalize response data
5. Add proper error handling with descriptive messages

Example pattern:
```typescript
async newFeature(param: string): Promise<Result> {
if (this.config.simulation) {
return this.mockResult();
}

try {
const response = await fetch(/* API call */);
if (!response.ok) {
throw new Error(`API error: ${response.status}`);
}
return await response.json();
} catch (error) {
console.error('❌ Error:', error);
throw error;
}
}
```

### Grok AI Service (`grok.ts`)

When modifying AI analysis:
1. Keep prompts clear and specific
2. Provide sufficient context to the AI
3. Parse responses defensively
4. Include fallback behavior for unexpected responses
5. Support simulation mode with realistic mock data

### MCP Server (`mcp/server.ts`)

When adding new MCP tools:
1. Register tool in `getTools()` method
2. Add handler in tool invocation logic
3. Follow MCP specification for tool schema
4. Document tool capabilities in description
5. Return structured, type-safe results

## Security Best Practices

### API Keys and Credentials
- **Never hardcode**: All credentials must be in environment variables
- **Validation**: Validate all credentials at startup
- **Logging**: Never log credentials or tokens
- **Error Messages**: Don't expose credentials in error messages

### Input Validation
- **User Input**: Sanitize all user-generated content before processing
- **API Responses**: Validate structure of all API responses
- **Type Checking**: Use TypeScript types to catch errors at compile time

### Rate Limiting
- **Respect Limits**: Honor X API rate limits
- **Graceful Degradation**: Handle rate limit errors gracefully
- **Backoff**: Implement exponential backoff for retries

### Data Privacy
- **Minimal Storage**: Don't persist sensitive user data
- **In-Memory Only**: Current design uses in-memory tracking
- **No Logs**: Don't log private conversation content

## Error Handling

### Pattern to Follow
```typescript
try {
// Operation
} catch (error) {
console.error('❌ Descriptive error message:', error);
// Graceful fallback or re-throw if critical
if (isCritical) throw error;
return fallbackValue;
}
```

### Logging Conventions
- ✅ Success: Green checkmark
- ❌ Error: Red X
- ⚠️ Warning: Yellow warning
- 📬 Mention: Envelope
- 🤖 AI Activity: Robot
- 🧵 Thread: Thread emoji
- ⏳ Waiting: Hourglass

## Agent Architecture

### Main Components

1. **Configuration Manager** (`config.ts`): Centralized configuration loading
2. **X API Client** (`xapi.ts`): Interface to X API
3. **Grok Service** (`grok.ts`): AI analysis and decision-making
4. **Autonomous Agent** (`agent.ts`): Main orchestration loop
5. **xMCP Server** (`mcp/server.ts`): MCP protocol implementation

### Processing Flow

```
Poll for mentions → Fetch thread context →
Analyze with Grok → Make decision →
Execute action → Mark as processed → Wait → Repeat
```

### Adding New Action Types

1. Add to `AgentActionType` enum in `types/index.ts`
2. Update `AgentAction` interface if needed
3. Implement handler in `agent.ts` `executeAction()` method
4. Update Grok prompts to recognize new action type
5. Add simulation mode support
6. Document in ARCHITECTURE.md

## Performance Considerations

- **Memory**: Keep processed mentions map bounded
- **CPU**: Minimize blocking operations
- **Network**: Batch requests when possible
- **Polling**: Use appropriate intervals (default: 30s)

## Deployment

### Environment Setup
1. Clone repository
2. Run `npm install`
3. Copy `.env.example` to `.env`
4. Configure all required environment variables
5. Run `npm run build`
6. Run `npm start`

### Production Considerations
- Use process manager (PM2, systemd) for restarts
- Monitor logs for errors
- Set up alerts for failures
- Consider containerization (Docker)
- Use proper logging service
- Implement health checks

## Common Tasks

### Adding a New X API Endpoint
1. Add method to `XAPIClient` in `src/services/xapi.ts`
2. Include simulation mode mock
3. Update types in `src/types/index.ts` if needed
4. Add error handling
5. Document in USAGE.md

### Modifying Agent Behavior
1. Update decision logic in `GrokService` (`src/services/grok.ts`)
2. Adjust prompts to guide AI behavior
3. Test with simulation mode first
4. Update ARCHITECTURE.md with changes

### Adding New MCP Tools
1. Define tool schema in `mcp/server.ts` `getTools()`
2. Implement tool handler in `CallToolRequestSchema` handler
3. Test with MCP client
4. Document tool capabilities

## Documentation Updates

When making changes, update relevant documentation:
- **ARCHITECTURE.md**: System design and component changes
- **USAGE.md**: Usage examples and new features
- **README.md**: Setup instructions and overview
- **DEPLOYMENT.md**: Deployment-related changes
- **.env.example**: New environment variables

## Git Workflow

- **Branches**: Create feature branches from `main`
- **Commits**: Use descriptive commit messages
- **PRs**: Include description of changes and testing performed
- **Code Review**: All changes should be reviewed

## AI Agent Development Principles

1. **Context Awareness**: Always provide full conversation context to AI
2. **Explainability**: Log AI reasoning and confidence levels
3. **Safety**: Include guardrails and review before posting
4. **Autonomy**: Design for minimal human intervention
5. **Adaptability**: Make behavior configurable and tunable
6. **Monitoring**: Track agent actions and outcomes
7. **Graceful Degradation**: Handle failures without crashing

## Future Enhancements to Consider

When extending the codebase:
- Database integration for persistent state
- Web dashboard for monitoring
- Webhook support for real-time notifications
- Multi-account support
- Advanced analytics and metrics
- Conversation memory/context retention
- Multi-modal support (images, videos)
- Integration with other AI models
- Advanced rate limit management

## Questions or Issues?

Refer to:
- **ARCHITECTURE.md** for system design
- **USAGE.md** for usage examples
- **DEPLOYMENT.md** for deployment guides
- **README.md** for quick start

## Copilot Specific Guidance

When suggesting code:
1. **Follow existing patterns** in the codebase
2. **Maintain type safety** - use TypeScript properly
3. **Include error handling** for all external calls
4. **Support simulation mode** for testing
5. **Add appropriate logging** with emojis per convention
6. **Update documentation** when changing behavior
7. **Consider rate limits** for X API operations
8. **Preserve security** - never expose credentials
9. **Think about scale** - avoid unbounded memory growth
10. **Test thoroughly** - include simulation mode testing
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This PR adds a duplicate GitHub Copilot instructions file when one already exists in the coding guidelines (as referenced in the review instructions). The PR description does not mention adding this file, and duplicating instructions can lead to inconsistency and maintenance issues.

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Comment on lines 4 to 26
@@ -16,11 +16,11 @@
/api/ @groupthinking

# Infrastructure
/.github/ @groupthinking
*.yml @groupthinking
*.yaml @groupthinking
Dockerfile @groupthinking
/.github/ @Claude
*.yml @Claude
*.yaml @Claude
Dockerfile @Claude

# Documentation
*.md @groupthinking
/docs/ @groupthinking
*.md @Copilot
/docs/ @Copilot
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The CODEOWNERS file has been modified to change ownership from @groupthinking to various other accounts (@codex, @vercel, @claude, @Copilot). These changes are not mentioned in the PR description which only describes README updates. The new owners appear to be generic AI service names rather than actual GitHub usernames, which may cause issues with GitHub's code review assignment functionality.

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Comment on lines +1 to +44
name: PR Checks
on:
pull_request:
types: [opened, reopened, synchronize, edited]
jobs:
validate:
runs-on: ubuntu-latest
steps:
- uses: actions/github-script@v7
with:
script: |
const pr = context.payload.pull_request;
const errors = [];
const warnings = [];

if (pr.title.length < 10) {
errors.push('❌ PR title too short (minimum 10 characters)');
}
if (!/^(feat|fix|docs|style|refactor|test|chore|perf|ci|build|revert)(\(.+\))?:/.test(pr.title)) {
warnings.push('⚠️ PR title should follow conventional commits format');
}

if (!pr.body || pr.body.length < 20) {
errors.push('❌ PR description is required (minimum 20 characters)');
}

const totalChanges = (pr.additions || 0) + (pr.deletions || 0);
if (totalChanges > 500) {
warnings.push(`⚠️ Large PR detected (${totalChanges} lines changed)`);
}

const allMessages = [...errors, ...warnings];
if (allMessages.length > 0) {
const comment = `## 🔍 PR Validation\n\n${allMessages.join('\n')}`;
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: pr.number,
body: comment
});
if (errors.length > 0) {
core.setFailed('PR validation failed');
}
}
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The PR description mentions "minor updates to the README.md" but this PR also adds three new GitHub workflow files (pr-checks.yml, issue-triage.yml, auto-label.yml) that are not mentioned in the description. These workflows introduce automated PR validation, issue triage, and labeling functionality that should be described in the PR description.

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@@ -61,12 +62,12 @@ export class GrokService {
const data: any = await response.json();
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Unexpected any. Specify a different type.

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@groupthinking
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Owner Author

The failure in this job pertains to an unhandled error during a GitHub API call. Specifically, the error message indicates:

Unhandled error: HttpError: Resource not accessible by integration

This suggests that the workflow attempted to perform an operation that the GitHub Actions runner does not currently have permission to execute. Common reasons and solutions for this error include:

Analysis and Potential Fixes

  1. Check Permission Scopes for GitHub Token

    • Ensure that the GITHUB_TOKEN or any personal access token being used has the necessary permissions for the repository or specific API operations (e.g., commenting on a pull request).
    • Add the required permissions by modifying your workflow file. Example:
      permissions:
        pull-requests: write
        contents: read
  2. Verify Correct Integration Setup

    • If using a third-party GitHub App or integration, ensure it has access to the repository and the needed permission scopes have been granted during the App installation.
  3. Examine API Call Context

    • The error occurred during a pull request validation. Validate that the issue_number or pr.number being used exists within the repository context.
  4. Debugging Workflow File

    • Update the file .github/workflows/pr-checks.yml to include debug information about the API requests. Use ACTIONS_STEP_DEBUG to show more detailed logs:
      env:
        ACTIONS_STEP_DEBUG: "true"
  5. Updating the Code

    • Based on the provided snippet, ensure error-handling mechanisms are in place:
      try {
        // API call logic
      } catch (error) {
        core.setFailed(`PR validation failed: ${error.message}`);
      }
      This will provide more contextual error information in the logs.

Next Steps

  1. Update the permissions in the workflow file.
  2. Verify the GITHUB_TOKEN permissions in the repository settings.
  3. Add improved error-handling in the user-provided code.
  4. Rerun the workflow and analyze updated logs to confirm resolution.

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Copilot AI commented Feb 6, 2026

@groupthinking I've opened a new pull request, #22, to work on those changes. Once the pull request is ready, I'll request review from you.

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Copilot AI commented Feb 6, 2026

@groupthinking I've opened a new pull request, #23, to work on those changes. Once the pull request is ready, I'll request review from you.

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Copilot AI commented Feb 6, 2026

@groupthinking I've opened a new pull request, #24, to work on those changes. Once the pull request is ready, I'll request review from you.

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Copilot AI commented Feb 6, 2026

@groupthinking I've opened a new pull request, #25, to work on those changes. Once the pull request is ready, I'll request review from you.

@groupthinking
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groupthinking commented Feb 6, 2026

The failure in this job pertains to an unhandled error during a GitHub API call. Specifically, the error message indicates:

Unhandled error: HttpError: Resource not accessible by integration

This suggests that the workflow attempted to perform an operation that the GitHub Actions runner does not currently have permission to execute. Common reasons and solutions for this error include:

Analysis and Potential Fixes

  1. Check Permission Scopes for GitHub Token

    • Ensure that the GITHUB_TOKEN or any personal access token being used has the necessary permissions for the repository or specific API operations (e.g., commenting on a pull request).
    • Add the required permissions by modifying your workflow file. Example:
      permissions:
        pull-requests: write
        contents: read
  2. Verify Correct Integration Setup

    • If using a third-party GitHub App or integration, ensure it has access to the repository and the needed permission scopes have been granted during the App installation.
  3. Examine API Call Context

    • The error occurred during a pull request validation. Validate that the issue_number or pr.number being used exists within the repository context.
  4. Debugging Workflow File

    • Update the file .github/workflows/pr-checks.yml to include debug information about the API requests. Use ACTIONS_STEP_DEBUG to show more detailed logs:
      env:
        ACTIONS_STEP_DEBUG: "true"
  5. Updating the Code

    • Based on the provided snippet, ensure error-handling mechanisms are in place:
      try {
        // API call logic
      } catch (error) {
        core.setFailed(`PR validation failed: ${error.message}`);
      }
      This will provide more contextual error information in the logs.

Next Steps

  1. Update the permissions in the workflow file.
  2. Verify the GITHUB_TOKEN permissions in the repository settings.
  3. Add improved error-handling in the user-provided code.
  4. Rerun the workflow and analyze updated logs to confirm resolution.

@copilot

@chatgpt-codex-connector
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To use Codex here, create a Codex account and connect to github.

Copilot AI review requested due to automatic review settings February 6, 2026 16:51
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Pull request overview

Copilot reviewed 15 out of 16 changed files in this pull request and generated 3 comments.

Comment on lines +1 to +44
name: PR Checks
on:
pull_request:
types: [opened, reopened, synchronize, edited]
jobs:
validate:
runs-on: ubuntu-latest
steps:
- uses: actions/github-script@v7
with:
script: |
const pr = context.payload.pull_request;
const errors = [];
const warnings = [];

if (pr.title.length < 10) {
errors.push('❌ PR title too short (minimum 10 characters)');
}
if (!/^(feat|fix|docs|style|refactor|test|chore|perf|ci|build|revert)(\(.+\))?:/.test(pr.title)) {
warnings.push('⚠️ PR title should follow conventional commits format');
}

if (!pr.body || pr.body.length < 20) {
errors.push('❌ PR description is required (minimum 20 characters)');
}

const totalChanges = (pr.additions || 0) + (pr.deletions || 0);
if (totalChanges > 500) {
warnings.push(`⚠️ Large PR detected (${totalChanges} lines changed)`);
}

const allMessages = [...errors, ...warnings];
if (allMessages.length > 0) {
const comment = `## 🔍 PR Validation\n\n${allMessages.join('\n')}`;
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: pr.number,
body: comment
});
if (errors.length > 0) {
core.setFailed('PR validation failed');
}
}
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This workflow file adds PR validation checks including title length, conventional commits format, description length, and PR size warnings. While these are useful additions, they are not mentioned in the PR description which only mentions "minor updates to the README.md".

Additionally, the workflow references conventional commits format validation but the project's existing CONTRIBUTING.md and PR_TITLE_GUIDE.md documentation should be checked to ensure this workflow aligns with documented processes. The workflow treats conventional commits violations as warnings rather than errors, which is appropriate based on the existing approach in the codebase.

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Comment on lines +7 to +17
name: molt
description: An agent for the molt project.
---

# molt Agent

This agent assists with tasks related to the molt project. You can ask it to:
- [Capability 1]
- [Capability 2]

For more information, visit https://www.molt.bot/.
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This agent configuration references "molt" project and "molt.bot" website, which appears to be the competitor platform analyzed in MOLT_STRATEGIC_ANALYSIS.md. This is inconsistent with the MyXstack project and suggests content from another project may have been accidentally included.

The agent name, description, and URL should reference MyXstack, not Molt, unless there's a specific reason for this configuration that should be explained in the PR description.

Suggested change
name: molt
description: An agent for the molt project.
---
# molt Agent
This agent assists with tasks related to the molt project. You can ask it to:
- [Capability 1]
- [Capability 2]
For more information, visit https://www.molt.bot/.
name: myxstack-agent
description: An agent for the MyXstack project.
---
# MyXstack Agent
This agent assists with tasks related to the MyXstack project. You can ask it to:
- [Capability 1]
- [Capability 2]
For more information, see the MyXstack project documentation in this repository.

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}

private parseThread(tweets: any[]): XThread | null {
private parseThread(tweets: { created_at: string; [key: string]: any }[]): XThread | null {
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Unexpected any. Specify a different type.

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Copilot AI review requested due to automatic review settings February 8, 2026 09:37
Comment on lines +113 to +120
mentions = client.get_users_mentions(
id=bot_id,
start_time=start_time,
tweet_fields=["conversation_id", "created_at", "author_id", "text"],
)
for mention in mentions.data or []:
context = mention.text
prompt = f"""
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Bug: The main polling loop in listener.py lacks exception handling for tweepy and xai_sdk API calls, which will crash the service on any network or API error.
Severity: CRITICAL

Suggested Fix

Wrap the API calls within the while True: loop in listener.py inside a try...except block. Catch specific exceptions from tweepy and xai_sdk (e.g., tweepy.errors.TweepyException, grpc.RpcError). Log the error and use continue to proceed to the next iteration of the loop, preventing the entire service from crashing due to a transient failure with a single mention.

Prompt for AI Agent
Review the code at the location below. A potential bug has been identified by an AI
agent.
Verify if this is a real issue. If it is, propose a fix; if not, explain why it's not
valid.

Location: listener.py#L113-L120

Potential issue: The main polling loop in `listener.py` was refactored to remove
exception handling around API calls made with the `tweepy` and `xai_sdk` libraries.
Specifically, `client.get_users_mentions()`, `client.create_tweet()`, and
`get_grok_reply()` are called without `try...except` blocks. These functions can raise
various exceptions due to network issues, API errors, or timeouts. An unhandled
exception in this loop will crash the listener service. While the service is configured
to restart automatically, this is a regression from the previous implementation which
handled transient errors gracefully by skipping problematic mentions and continuing the
loop, providing higher availability.

Did we get this right? 👍 / 👎 to inform future reviews.

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Pull request overview

Copilot reviewed 22 out of 26 changed files in this pull request and generated 15 comments.

Comment on lines +1 to +2
curl -fsSL https://openclaw.ai/install.sh | bash Learn more →> ## Documentation Index
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt
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Including curl ... | bash install instructions in a repo instructions file is a supply-chain risk and is often blocked in security reviews. Prefer documenting explicit, pinned install steps (download + checksum/signature verification) instead of piping remote scripts to a shell.

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Comment on lines +73 to +79
if updates.action and not updates.status:
data["status"] = updates.action.lower()
item = update_item(item_id, data)
if not item:
raise HTTPException(status_code=404, detail="Item not found")
if updates.action:
_dispatch_action(item, updates.action)
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TimelineItemUpdate includes both action and actions, and patch_item passes the raw dict through to update_item where action is ignored. This is confusing API surface; consider removing action from the model or explicitly translating it into an update field (and exclude it from the update payload).

Suggested change
if updates.action and not updates.status:
data["status"] = updates.action.lower()
item = update_item(item_id, data)
if not item:
raise HTTPException(status_code=404, detail="Item not found")
if updates.action:
_dispatch_action(item, updates.action)
# Extract transient action so it is not sent to the persistence layer
action = data.pop("action", None)
if action and not data.get("status"):
data["status"] = action.lower()
item = update_item(item_id, data)
if not item:
raise HTTPException(status_code=404, detail="Item not found")
if action:
_dispatch_action(item, action)

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Comment on lines 67 to +70
} catch (error) {
console.error('Error calling Grok API:', error);
// Fallback to simulation
return this.simulateAnalysis(mention, thread);
return this.simulateAnalysis(mention, thread, mentionPostId);
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Error logging here doesn’t follow the repo’s established emoji-prefixed convention (e.g., console.error('❌ ...') used elsewhere). Since this block was touched, please align the Grok API error log with the standard format for consistent operational logs.

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name: Auto Label
on:
pull_request:
types: [opened, reopened, synchronized]
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pull_request event type should be synchronize, not synchronized. With the current value this workflow will not run when commits are pushed to an existing PR.

Suggested change
types: [opened, reopened, synchronized]
types: [opened, reopened, synchronize]

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Comment on lines +1 to +3
curl -fsSL https://openclaw.ai/install.sh | bash Learn more →> ## Documentation Index
> Fetch the complete documentation index at: https://code.claude.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.
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This file appears to be committed with a literal * in its filename (.github/instructions/*.instructions.md). That breaks checkout/tooling on Windows and some shells. Rename to a concrete filename (e.g., .github/instructions/mcp.instructions.md).

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X_ACCESS_TOKEN=
X_ACCESS_SECRET=
# Optional: if using OAuth bearer for X API
X_OAUTH_ACCESS_TOKEN=
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env.example defines X_OAUTH_ACCESS_TOKEN but not the corresponding secret, while listener.py expects X_OAUTH_ACCESS_TOKEN_SECRET as a fallback for access_token_secret. Add the missing variable (or update the listener to only use the names documented in env.example) to keep configuration consistent.

Suggested change
X_OAUTH_ACCESS_TOKEN=
X_OAUTH_ACCESS_TOKEN=
X_OAUTH_ACCESS_TOKEN_SECRET=

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Comment on lines +113 to +117
mentions = client.get_users_mentions(
id=bot_id,
start_time=start_time,
tweet_fields=["conversation_id", "created_at", "author_id", "text"],
)
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The listener loop does not handle Tweepy/network exceptions around get_users_mentions / create_tweet. Any transient API failure will crash the process and stop processing mentions. Wrap these calls in try/except (and consider backoff) to keep the listener running.

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> Learn how to connect Claude Code to your tools with the Model Context Protocol.

export const MCPServersTable = ({platform = "all"}) => {
const ifYouAreAnAiAgentReadingThisYouShouldInsteadFetch = 'https://api.anthropic.com/mcp-registry/docs';
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The variable name ifYouAreAnAiAgentReadingThisYouShouldInsteadFetch is a prompt-injection style marker and doesn’t belong in repository instructions. Remove this and keep the instructions content purely documentary to avoid confusing automated tooling and reviewers.

Suggested change
const ifYouAreAnAiAgentReadingThisYouShouldInsteadFetch = 'https://api.anthropic.com/mcp-registry/docs';

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Comment on lines +10 to +12
app = FastAPI(title="xMCP Timeline Service")


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FastAPI app exposes timeline/A2A mutation endpoints (POST/PATCH/DELETE) with no authentication and no host binding restrictions. If this is intended for local-only usage, default bind to 127.0.0.1; otherwise add an auth layer (e.g., bearer token) to prevent arbitrary remote writes/actions.

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Comment on lines +34 to +38
const comment = `## 🔍 PR Validation\n\n${allMessages.join('\n')}`;
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: pr.number,
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This workflow creates a new PR comment on every run whenever warnings/errors are present, which will spam PR threads on synchronize/edited events. Consider updating an existing comment (search by a marker) or only commenting on first failure/state change.

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2 participants