Context7-ChatGPT-Bridge

Context7 ChatGPT Bridge

Why This Exists

ChatGPT needs access to current programming documentation but requires specific search and fetch tools. Context7 provides excellent up-to-date docs but uses different tools (resolve-library-id and get-library-docs). This bridge translates between them, giving ChatGPT access to Context7's documentation database.

What It Does

A bridge that allows ChatGPT to access up-to-date programming documentation through the Context7 MCP server. Implements ChatGPT's required search and fetch tools while using Context7's documentation database internally.

Requirements

• Node.js >= 18.0.0
• Python >= 3.8
• ngrok (for ChatGPT access)

Quick Start

1. Install dependencies:

   pip install -r requirements.txt
   

2. Start the bridge:

   python context7_bridge.py
   

   The script automatically starts ngrok and displays the ChatGPT-ready URL.

3. Add to ChatGPT: Copy the displayed URL to ChatGPT's MCP connectors:

   https://abc123.ngrok-free.app/sse
   

Available Tools

search

Search for programming libraries and frameworks. Supports both library names (e.g., "React", "MongoDB") and direct Context7 library IDs (e.g., "/reactjs/react.dev").

fetch

Fetch comprehensive documentation for specific libraries. Supports advanced parameters:

• Basic: library_id
• Topic-focused: library_id|topic:hooks
• Custom tokens: library_id|tokens:15000
• Combined: library_id|topic:authentication|tokens:12000

Example Topics

• hooks - React hooks, useEffect, useState
• routing - Navigation, route setup
• authentication - Login, security, JWT
• installation - Setup, configuration
• api - API reference, methods
• examples - Code examples, tutorials

How It Works

ChatGPT → ngrok → Bridge → Context7 MCP Server → Documentation Database

1. ChatGPT sends search/fetch requests to your bridge
2. Bridge translates these to Context7's resolve-library-id/get-library-docs calls
3. Context7 returns current documentation
4. Bridge formats responses for ChatGPT

Configuration

Command-line options:

python context7_bridge.py --help

• --port - Port to run on (default: 8000)
• --host - Host to bind to (default: 127.0.0.1)
• --no-ngrok - Disable automatic ngrok tunnel

Environment variables:

• LOG_LEVEL - Logging level (default: INFO)

Manual Setup

If you prefer manual ngrok control:

# Start without ngrok
python context7_bridge.py --no-ngrok

# In another terminal
ngrok http 8000

Testing

Test without ChatGPT:

# Health check
curl http://localhost:8000/health

# Test search
curl -X POST http://localhost:8000/sse \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search","arguments":{"query":"react"}}}'

Troubleshooting

"Could not get response from Context7 server"

• Ensure Node.js and npx are installed and in PATH

"Unknown document ID"

• Always call search before fetch to get valid IDs
• Or use direct Context7 library IDs (starting with /)
• Note: Tool descriptions may need refinement for ChatGPT to better understand the search-first workflow - currently works but ChatGPT occasionally has hiccups with the sequence

Debug mode:

LOG_LEVEL=DEBUG python context7_bridge.py