gpt4free/docs/mcp-usage-guide.md

gpt4free MCP Server - Complete Usage Guide

Table of Contents

• Introduction
• Quick Start
• Configuration
• Available Tools
• Integration Examples
• Troubleshooting

Introduction

The gpt4free MCP (Model Context Protocol) server enables AI assistants like Claude to access powerful capabilities:

• Web Search: Real-time web search using DuckDuckGo
• Web Scraping: Extract and clean text content from any web page
• Image Generation: Create images from text descriptions using various AI models

Quick Start

1. Installation

Make sure gpt4free is installed with all dependencies:

# Install with all features
pip install -U g4f[all]

# Or install from source
git clone https://github.com/xtekky/gpt4free.git
cd gpt4free
pip install -e .

2. Start the MCP Server

# Using g4f command
g4f mcp

# Or using Python module
python -m g4f.mcp

# With debug logging
g4f mcp --debug

The server will:

• Listen on stdin for JSON-RPC requests
• Write responses to stdout
• Write debug/error messages to stderr

3. Test the Server

# Send a test request
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}' | python -m g4f.mcp

Expected output:

{"jsonrpc": "2.0", "id": 1, "result": {"protocolVersion": "2024-11-05", "serverInfo": {...}}}

Configuration

Claude Desktop

1. Locate your config file:

   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%/Claude/claude_desktop_config.json
   • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add the MCP server:

{
  "mcpServers": {
    "gpt4free": {
      "command": "python",
      "args": ["-m", "g4f.mcp"],
      "description": "gpt4free MCP server with web search, scraping, and image generation"
    }
  }
}

3. Restart Claude Desktop

4. Verify in Claude: Ask "What tools do you have access to?" and you should see the gpt4free tools listed.

VS Code with Cline Extension

Add to your Cline MCP settings:

{
  "mcpServers": {
    "gpt4free": {
      "command": "python",
      "args": ["-m", "g4f.mcp"],
      "disabled": false
    }
  }
}

Other MCP Clients

Any MCP-compatible client can use the server. The command is:

python -m g4f.mcp

Available Tools

1. web_search

Search the web for current information.

Parameters:

• query (string, required): Search query
• max_results (integer, optional): Maximum results to return (default: 5)

Example Request:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "web_search",
    "arguments": {
      "query": "latest Python 3.12 features",
      "max_results": 5
    }
  }
}

Example Usage in Claude:

"Search the web for the latest Python 3.12 features"

2. web_scrape

Extract text content from web pages.

Parameters:

• url (string, required): URL to scrape
• max_words (integer, optional): Maximum words to extract (default: 1000)

Example Request:

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "web_scrape",
    "arguments": {
      "url": "https://python.org",
      "max_words": 500
    }
  }
}

Example Usage in Claude:

"Scrape the content from https://python.org and summarize it"

3. image_generation

Generate images from text descriptions.

Parameters:

• prompt (string, required): Image description
• model (string, optional): Image model (default: "flux")
• width (integer, optional): Width in pixels (default: 1024)
• height (integer, optional): Height in pixels (default: 1024)

Example Request:

{
  "jsonrpc": "2.0",
  "id": 3,
  "method": "tools/call",
  "params": {
    "name": "image_generation",
    "arguments": {
      "prompt": "A serene mountain landscape at sunset",
      "width": 1024,
      "height": 1024
    }
  }
}

Example Usage in Claude:

"Generate an image of a serene mountain landscape at sunset"

Integration Examples

Python Script

import asyncio
import json
from g4f.mcp.server import MCPServer, MCPRequest

async def search_web(query: str):
    server = MCPServer()
    request = MCPRequest(
        jsonrpc="2.0",
        id=1,
        method="tools/call",
        params={
            "name": "web_search",
            "arguments": {"query": query}
        }
    )
    response = await server.handle_request(request)
    return response.result

# Run it
result = asyncio.run(search_web("Python tutorials"))
print(result)

Command Line Testing

# Test initialize
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}' | g4f mcp

# Test list tools
echo '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}' | g4f mcp

# Test web search
echo '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"web_search","arguments":{"query":"test"}}}' | g4f mcp

Using with Shell Scripts

#!/bin/bash
# search.sh - Simple web search wrapper

query="$1"
request=$(cat <<EOF
{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"web_search","arguments":{"query":"$query"}}}
EOF
)

echo "$request" | python -m g4f.mcp | jq '.result.content[0].text | fromjson'

Troubleshooting

Server Won't Start

Problem: Server exits immediately or shows import errors

Solution:

# Install all dependencies
pip install -r requirements.txt

# Or install with all extras
pip install -U g4f[all]

Tools Return Errors

Problem: Tools return error messages about missing packages

Solution: Install specific dependencies:

# For web search
pip install ddgs beautifulsoup4

# For web scraping
pip install aiohttp beautifulsoup4

# For image generation
pip install pillow

Network Errors

Problem: Tools fail with connection errors

Solution:

• Check internet connectivity
• Some providers may be rate-limited
• Try different providers for image generation
• Check firewall settings

Claude Desktop Not Finding Server

Problem: Claude doesn't show gpt4free tools

Solution:

1. Verify config file location and syntax
2. Check that Python is in PATH
3. Try absolute path to Python:

   {
     "mcpServers": {
       "gpt4free": {
         "command": "/usr/bin/python3",
         "args": ["-m", "g4f.mcp"]
       }
     }
   }
   

4. Restart Claude Desktop completely
5. Check Claude logs for errors

Debug Mode

Enable debug output:

# Redirect stderr to see debug messages
g4f mcp 2> mcp_debug.log

# Run with verbose output
g4f mcp --debug 2>&1 | tee mcp_output.log

Verify Installation

Run the test script:

python etc/testing/test_mcp_server.py

Or the interactive demo:

python etc/testing/test_mcp_interactive.py

Protocol Details

The MCP server implements JSON-RPC 2.0 over stdio transport.

Supported Methods:

• initialize - Initialize the connection
• tools/list - List all available tools
• tools/call - Execute a tool
• ping - Health check

Message Format:

• Requests: One JSON object per line on stdin
• Responses: One JSON object per line on stdout
• Logs: Messages on stderr

Advanced Usage

Custom Tool Development

To add custom tools, see g4f/mcp/tools.py:

from g4f.mcp.tools import MCPTool

class MyCustomTool(MCPTool):
    @property
    def description(self) -> str:
        return "My custom tool description"
    
    @property
    def input_schema(self) -> Dict[str, Any]:
        return {
            "type": "object",
            "properties": {
                "param1": {"type": "string", "description": "..."}
            },
            "required": ["param1"]
        }
    
    async def execute(self, arguments: Dict[str, Any]) -> Any:
        # Your implementation
        pass

Register in g4f/mcp/server.py:

self.tools['my_tool'] = MyCustomTool()

Support

• Documentation: g4f/mcp/README.md
• Issues: https://github.com/xtekky/gpt4free/issues
• MCP Specification: https://modelcontextprotocol.io/

License

Part of the gpt4free project, licensed under GNU General Public License v3.0.