Expose any MCP tool as an OpenAPI-compatible HTTP server—instantly.
mcpo is a dead-simple proxy that takes an MCP server command and makes it accessible via standard RESTful OpenAPI, so your tools "just work" with LLM agents and apps expecting OpenAPI servers.
No custom protocol. No glue code. No hassle.
MCP servers usually speak over raw stdio, which is:
- 🔓 Inherently insecure
- ❌ Incompatible with most tools
- 🧩 Missing standard features like docs, auth, error handling, etc.
mcpo solves all of that—without extra effort:
- ✅ Works instantly with OpenAPI tools, SDKs, and UIs
- 🛡 Adds security, stability, and scalability using trusted web standards
- 🧠 Auto-generates interactive docs for every tool, no config needed
- 🔌 Uses pure HTTP—no sockets, no glue code, no surprises
What feels like "one more step" is really fewer steps with better outcomes.
mcpo makes your AI tools usable, secure, and interoperable—right now, with zero hassle.
We recommend using uv for lightning-fast startup and zero config.
uvx mcpo --port 8000 -- your_mcp_server_command
Or, if you’re using Python:
pip install mcpo
mcpo --port 8000 -- your_mcp_server_command
Example:
uvx mcpo --port 8000 -- uvx mcp-server-time --local-timezone=America/New_York
That’s it. Your MCP tool is now available at http://localhost:8000 with a generated OpenAPI schema — test it live at http://localhost:8000/docs.
You can serve multiple MCP tools via a single config file that follows the Claude Desktop format:
Start via:
mcpo --config /path/to/config.json
Example config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-memory"]
},
"time": {
"command": "uvx",
"args": ["mcp-server-time", "--local-timezone=America/New_York"]
}
}
}
Each tool will be accessible under its own unique route, e.g.:
Each with a dedicated OpenAPI schema and proxy handler. Access full schema UI at: http://localhost:8000/<tool>/docs
(e.g. /memory/docs, /time/docs)
- Python 3.8+
- uv (optional, but highly recommended for performance + packaging)
MIT
We welcome and strongly encourage contributions from the community!
Whether you're fixing a bug, adding features, improving documentation, or just sharing ideas—your input is incredibly valuable and helps make mcpo better for everyone.
Getting started is easy:
- Fork the repo
- Create a new branch
- Make your changes
- Open a pull request
Not sure where to start? Feel free to open an issue or ask a question—we’re happy to help you find a good first task.
✨ Let's build the future of interoperable AI tooling together!