MCPO: A Simple, Secure MCP to OpenAPI Proxy Server

⚡️ Project Profile

Open WebUI MCPO is a simple and secure MCP-to-OpenAPI proxy server that quickly converts any MCP tool into an OpenAPI-compatible HTTP server. This project was developed by the Open WebUI team and currently has 1.9k starred tags on GitHub, showing its popularity in the developer community.

MCPO: A Simple, Secure MCP to OpenAPI Proxy Server

🌟 Core functions

  1. protocol conversion: Convert the MCP server's command line interface to a standard RESTful OpenAPI interface
  2. Multi-protocol support: Compatible with SSE (Server-Sent Events) and Streamable HTTP protocols.
  3. One-Click Deployment: Support for rapid deployment via Python, uv or Docker
  4. Multi-tool management: Simultaneous management of multiple MCP tools via configuration files
  5. Automatic Document Generation: automatically generate interactive API documentation for each tool

🎯 Suitable for the crowd

  • Developers who need to integrate MCP tools into existing systems
  • Technical teams looking to add standard API interfaces to AI tools
  • Operations staff who need to ensure secure communication between tools
  • Startups that want to streamline the process of deploying AI tools

🔍 Principle of operation

MCPO works as an intermediate agent layer:

  1. Receive standard HTTP/OpenAPI requests
  2. Convert to MCP protocol to communicate with back-end tools
  3. Converts the tool response back to OpenAPI format and returns the

🛠️ Usage

Basic use

uvx mcpo --port 8000 --api-key "your-key" -- your_mcp_server_command

The Docker Way

docker run -p 8000:8000 ghcr.io/open-webui/mcpo:main --api-key "your-key" -- your_mcp_server_command

Configuration file method

{ "mcpServers": { "memory": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-memory"] } }}

💡 Program Advantages

  1. Standardized interfaces: Make MCP tools immediately compatible with all OpenAPI tools and SDKs
  2. Enhanced Security: Replacing the original stdio communication with HTTP is more secure and reliable.
  3. Zero Configuration Documentation: automatically generates complete API documentation for each tool
  4. Development Friendly: Support Python 3.8+, provide perfect development and testing process
  5. Community Support: active open source community, continuously updated and maintained

📚 Learning Resources

🔮 Future prospects

With the rapid development of the AI tool ecosystem, protocol conversion tools like MCPO will become increasingly important. It solves the interoperability problem between different AI tools and provides infrastructure support for building complex AI applications.

byword

MCP proxy, OpenAPI conversion, AI tool integration, MCP-to-OpenAPI, protocol conversion tools, AI development tools, Open WebUI ecology

📢 Disclaimer | Tool Use Reminder
1 This content is compiled based on publicly available information. As AI technologies and tools undergo frequent updates, please refer to the latest official documentation for the most current details.
2 The recommended tools have undergone basic screening but have not undergone in-depth security verification. Please assess their suitability and associated risks yourself.
3 When using third-party AI tools, please be mindful of data privacy protection and avoid uploading sensitive information.
4 This website shall not be liable for any direct or indirect losses resulting from misuse of tools, technical failures, or content inaccuracies.
5 Some tools may require a paid subscription. Please make informed decisions. This site does not provide any investment advice.
4 comment A文章作者 M管理员
  1. This one-click deployment feature is super convenient. Just tried the Docker method—done in minutes! 👍

  2. The automatic document generation feature is super handy—it saves me time writing Swagger docs. I just wonder how well it handles complex parameters?

  3. After testing the conversion of our internal tools, it's definitely much safer than directly exposing MCP, though the performance overhead is a bit noticeable. 😅

  4. I just discovered this GitHub project with 1.9k stars! Already forked it—planning to dive into the source code this weekend.

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