openai-tool2mcp

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

  • Provides code coverage reporting and tracking for the project.

  • Integrates with GitHub for project management, allowing access to repositories and supporting workflows through GitHub Actions.

  • Utilizes Mermaid for creating diagrams to visualize workflow processes and architecture.

openai-tool2mcp

openai-tool2mcp is a lightweight, open-source bridge that wraps OpenAI's powerful built-in tools as Model Context Protocol (MCP) servers. It enables you to use high-quality OpenAI tools like web search and code interpreter with Claude and other MCP-compatible models.

  • šŸ” Use OpenAI's robust web search in Claude App
  • šŸ’» Access code interpreter functionality in any MCP-compatible LLM
  • šŸ”„ Seamless protocol translation between OpenAI and MCP
  • šŸ› ļø Simple API for easy integration
  • šŸŒ Full compatibility with the MCP SDK

šŸ” OpenAI Search Integration Demo with Claude App! šŸš€

https://github.com/user-attachments/assets/f1f10e2c-b995-4e03-8b28-61eeb2b2bfe9

OpenAI tried to keep their powerful, LLM-optimized tools locked within their own agent platform, but they couldn't stop the unstoppable open-source movement of MCP!

The Developer's Dilemma

AI developers currently face a challenging choice between two ecosystems:

openai-tool2mcp bridges this gap by letting you use OpenAI's mature, high-quality tools within the open MCP ecosystem.

šŸŒŸ Features

  • Easy Setup: Get up and running with a few simple commands
  • OpenAI Tools as MCP Servers: Wrap powerful OpenAI built-in tools as MCP-compliant servers
  • Seamless Integration: Works with Claude App and other MCP-compatible clients
  • MCP SDK Compatible: Uses the official MCP Python SDK
  • Tool Support:
    • šŸ” Web Search
    • šŸ’» Code Interpreter
    • šŸŒ Web Browser
    • šŸ“ File Management
  • Open Source: MIT licensed, hackable and extensible

šŸš€ Installation

# Install from PyPI pip install openai-tool2mcp # Or install the latest development version pip install git+https://github.com/alohays/openai-tool2mcp.git # Recommended: Install uv for better MCP compatibility pip install uv

Prerequisites

  • Python 3.10+
  • OpenAI API key with access to the Assistant API
  • (Recommended) uv package manager for MCP compatibility

šŸ› ļø Quick Start

  1. Set your OpenAI API key:
export OPENAI_API_KEY="your-api-key-here"
  1. Start the MCP server with OpenAI tools:
# Recommended: Use uv for MCP compatibility (recommended by MCP documentation) uv run openai_tool2mcp/server_entry.py --transport stdio # Or use the traditional method with the CLI openai-tool2mcp start --transport stdio
  1. Use with Claude for Desktop:

Configure your Claude for Desktop to use the server by editing the claude_desktop_config.json:

{ "mcpServers": { "openai-tools": { "command": "uv", "args": [ "--directory", "/absolute/path/to/your/openai-tool2mcp", "run", "openai_tool2mcp/server_entry.py" ] } } }

The config file is located at:

  • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %AppData%\Claude\claude_desktop_config.json

šŸ’» Usage Examples

Basic Server Configuration

# server_script.py from openai_tool2mcp import MCPServer, ServerConfig, OpenAIBuiltInTools # Configure with OpenAI web search config = ServerConfig( openai_api_key="your-api-key", tools=[OpenAIBuiltInTools.WEB_SEARCH.value] ) # Create and start server with STDIO transport (for MCP compatibility) server = MCPServer(config) server.start(transport="stdio")

Run it with uv as recommended by MCP:

uv run server_script.py

MCP-Compatible Configuration for Claude Desktop

Create a standalone script:

# openai_tools_server.py import os from dotenv import load_dotenv from openai_tool2mcp import MCPServer, ServerConfig, OpenAIBuiltInTools # Load environment variables load_dotenv() # Create a server with multiple tools config = ServerConfig( openai_api_key=os.environ.get("OPENAI_API_KEY"), tools=[ OpenAIBuiltInTools.WEB_SEARCH.value, OpenAIBuiltInTools.CODE_INTERPRETER.value ] ) # Create and start the server with stdio transport for MCP compatibility server = MCPServer(config) server.start(transport="stdio")

Configure Claude Desktop to use this script with uv:

{ "mcpServers": { "openai-tools": { "command": "uv", "args": [ "--directory", "/absolute/path/to/your/project/folder", "run", "openai_tools_server.py" ] } } }

šŸ“Š How It Works

The library serves as a bridge between the OpenAI Assistant API and the MCP protocol:

šŸ”„ MCP SDK Integration

openai-tool2mcp is now fully compatible with the MCP SDK. You can use it with the Claude for Desktop app by:

  1. Installing the package with pip install openai-tool2mcp
  2. Configuring your claude_desktop_config.json to include:
{ "mcpServers": { "openai-tools": { "command": "openai-tool2mcp", "args": [ "start", "--transport", "stdio", "--tools", "retrieval", "code_interpreter" ] } } }

The config file is located at:

  • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %AppData%\Claude\claude_desktop_config.json

šŸ¤ Contributing

We welcome contributions from the community! Here's how you can help:

  1. Fork the repository
  2. Clone your fork to your local machine
  3. Create a branch for your feature or bugfix
  4. Make your changes and commit them
  5. Push to your fork and submit a pull request

Please make sure to follow our coding standards and add tests for any new features.

Development Setup

# Clone the repository git clone https://github.com/alohays/openai-tool2mcp.git cd openai-tool2mcp # Install in development mode make install # Run tests make test # Run linting make lint

šŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

šŸ™ Acknowledgements

  • The OpenAI team for their excellent tools and APIs
  • The MCP community for developing an open standard for tool usage
  • All contributors who have helped improve this project

āš ļø Project Status

This project is in active development. While the core functionality works, expect frequent updates and improvements. If you encounter any issues, please submit them on our issue tracker.


openai-tool2mcp is part of the broader MCPortal initiative to bridge OpenAI's tools with the open-source MCP ecosystem.