mcpo

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 --api-key "top-secret" -- your_mcp_server_command

Or, if you’re using Python:

pip install mcpo
mcpo --port 8000 --api-key "top-secret" -- your_mcp_server_command

To use an SSE-compatible MCP server, simply specify the server type and endpoint:

mcpo --port 8000 --api-key "top-secret" --server-type "sse" -- http://127.0.0.1:8001/sse

You can also provide headers for the SSE connection:

mcpo --port 8000 --api-key "top-secret" --server-type "sse" --header '{"Authorization": "Bearer token", "X-Custom-Header": "value"}' -- http://127.0.0.1:8001/sse

To use a Streamable HTTP-compatible MCP server, specify the server type and endpoint:

mcpo --port 8000 --api-key "top-secret" --server-type "streamable-http" -- http://127.0.0.1:8002/mcp

You can also run mcpo via Docker with no installation:

docker ru