mcpgen: Turn any OpenAPI spec into an MCP server in seconds
I got tired of manually writing MCP tools for every REST endpoint I wanted to expose to an LLM. So I automated it. mcpgen reads an OpenAPI JSON or YAML file and generates a complete, readyβtoβrun MCP server in Python.
I got tired of manually writing MCP tools for every REST endpoint I wanted
to expose to an LLM. So I automated it.
mcpgen reads an OpenAPI JSON or YAML file and generates a complete,
readyβtoβrun MCP server in Python.
π§ What it does
- Parses OpenAPI 3.0 / 3.1 specs
- Creates one MCP tool per endpoint (with
snake_casenames) - Handles auth automatically (API key, Bearer, etc.)
- Outputs a clean, humanβreadable Python script
- Zero runtime surprises β just
mcpandhttpx
π Quick start
bash
pip install mcpgen
mcpgen my-api.json -o my-mcp-server
python my-mcp-server/server.py
The generated server runs over stdio β ready to plug into Claude Desktop
or any MCP client.
π§ͺ Realβworld test
Recently a contributor added an OpenAPI 3.1 fixture (Xquik API) with
lookupTweet and getUser endpoints. The tool generated the correct
tools, including path parameters and x-api-key auth, on the first try.
All 18 tests pass. It works.
π€ Why you might want it
If youβre building LLM agents that need to interact with APIs,
mcpgen eliminates the boilerplate. You donβt have to write a single
@app.tool() decorator by hand.
It also makes it dead simple to experiment β change your API spec,
regenerate the server, and youβre done.
π¦ Links
GitHub: JnanaSrota/mcpgen
PyPI: pip install mcpgen
MIT licensed, open to contributions
π Feedback
If you try it with your own API spec and something breaks (or works
beautifully), Iβd love to hear about it. Drop a comment or open an issue.
Thanks for reading!
π° Read the original article on Dev.to AI
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes β full credit and traffic to the original publisher.