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WordPress Trac MCP Server

by Jameswlepage
OverviewInspectNewSchemaRelated ServersScore
TypeScript
8

WordPress Trac MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to WordPress.org Trac data. Built with TypeScript and deployed on Cloudflare Workers.

🆕 Now with ChatGPT Deep Research support!

Overview

This MCP server transforms WordPress Trac into an AI-accessible knowledge base, enabling intelligent queries about WordPress development, ticket tracking, and code changes. Features dual architecture supporting both standard MCP clients and ChatGPT's Deep Research requirements.

Features

  • Dual Architecture: Standard MCP + ChatGPT Deep Research support

  • Search 60,000+ WordPress tickets by keywords, components, or status

  • Get detailed ticket information including descriptions, status, and metadata

  • Access changeset information with full diff content

  • Monitor recent WordPress development activity

  • Retrieve project metadata like components, milestones, and priorities

  • Intelligent Query Routing: Automatically detects ticket numbers, revisions, and keywords

  • Smart Caching: Optimizes fetch operations for better performance

  • WordPress-branded UI with official styling

Available Tools

The server provides two different tool interfaces depending on your client:

Standard MCP Tools

For Claude Desktop, MCP Inspector, and other standard MCP clients:

searchTickets

Search through WordPress Trac tickets with intelligent filtering.

{ "tool": "searchTickets", "args": { "query": "REST API performance", "limit": 10, "status": "open" } }

getTicket

Retrieve comprehensive information about specific tickets.

{ "tool": "getTicket", "args": { "id": 59166, "includeComments": true } }

getChangeset

Access detailed information about code commits and changes.

{ "tool": "getChangeset", "args": { "revision": 55567, "includeDiff": true, "diffLimit": 2000 } }

getTimeline

Monitor recent WordPress development activity.

{ "tool": "getTimeline", "args": { "days": 7, "limit": 20 } }

getTracInfo

Get organizational data like components and milestones.

{ "tool": "getTracInfo", "args": { "type": "components" } }

ChatGPT Deep Research Tools

For ChatGPT's Deep Research feature (simplified interface):

search

Intelligent search that automatically routes to the right data based on your query.

{ "tool": "search", "args": { "query": "block editor performance" } }

Supported query types:

  • Keywords: "REST API bugs", "media upload issues"

  • Ticket numbers: "#61234", "61234"

  • Changesets: "r58504", "58504"

  • Recent activity: "recent", "timeline", "latest"

  • Components: "Block Editor", "REST API"

fetch

Get detailed information about a specific item by ID.

{ "tool": "fetch", "args": { "id": "61234" } }

Supported ID formats:

  • Ticket IDs: "61234"

  • Changeset revisions: "r58504"

Installation

Deploy to Cloudflare Workers

# Clone the repository git clone https://github.com/Jameswlepage/trac-mcp.git cd trac-mcp # Install dependencies npm install # Login to Cloudflare wrangler login # Deploy npm run deploy

Connect to AI Assistant

Standard MCP (Claude Desktop, etc.)

Add to your claude_desktop_config.json:

{ "mcpServers": { "wordpress-trac": { "command": "npx", "args": ["mcp-remote", "https://your-worker-url/mcp"] } } }

ChatGPT Deep Research

ChatGPT uses a different connection method than Claude Desktop. Follow these steps:

  1. Open ChatGPT Settings → Go to the Connectors tab

  2. Add Server → Import your remote MCP server directly:

    https://your-worker-url/mcp/chatgpt

  3. Enable in Composer → The server will appear in Composer > Deep Research tool

  4. Add as Source → You may need to manually add the server as a research source

For detailed setup instructions, see: ChatGPT MCP Documentation

Note: ChatGPT requires exactly 2 tools (search and fetch) with simplified schemas. The /mcp/chatgpt endpoint is specifically optimized for this requirement.

Development

Local Development

# Start development server npm run dev # Test with MCP Inspector npx @modelcontextprotocol/inspector http://localhost:8787/mcp

Testing

# Run type checking npm run type-check # Run linting npm run lint # Test deployment curl https://your-worker-url/health

Architecture

  • Runtime: Cloudflare Workers for global edge deployment

  • Language: TypeScript with Zod validation

  • Protocol: Model Context Protocol (MCP) for universal AI compatibility

  • APIs: Public WordPress Trac CSV/RSS endpoints (no authentication required)

Live Demo

URL: https://mcp-server-wporg-trac-staging.a8cai.workers.dev

License

This project is licensed under the GNU General Public License v2 or later - see the GPL License for details.

Contributing

Contributions are welcome! This server demonstrates how to build production-ready MCP servers with real-world complexity and WordPress integration.

Deploy Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

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