OpenAPI MCP Server
Allow AI to wade through complex OpenAPIs using Simple Language
gabfr
README
OpenAPI MCP Server
This is a Model Context Protocol (MCP) server that reads an OpenAPI specification file and exposes each API operation as a tool for Claude AI to use.
Features
- Automatically parses OpenAPI YAML files
- Generates MCP tools for each API operation
- Handles path parameters, query parameters, and request bodies
- Makes live API calls when Claude uses the tools
- Easy integration with Claude Desktop
Installation
# Clone the repository
git clone https://github.com/yourusername/openapi-mcp-server.git
cd openapi-mcp-server
# Install dependencies
npm install
Usage
-
Place your OpenAPI YAML file in the project directory or provide a path to it via environment variables.
-
Set up environment variables (optional):
# Create a .env file
echo "DEBUG=true" > .env
echo "OPENAPI_FILE=./path/to/your/openapi.yaml" >> .env
- Initialize the server with Claude Desktop:
npm run init
- Or run the server manually:
npm start
Configuration
You can configure the server using environment variables:
DEBUG
: Set totrue
to enable debug logging (default:false
)OPENAPI_FILE
: Path to your OpenAPI YAML file (default:./openapi.yaml
)
How it Works
The server reads your OpenAPI specification file and:
- Extracts all paths and operations
- Creates a tool for each operation with appropriate input schemas
- When Claude calls a tool, the server makes the corresponding API request
- The response is returned to Claude for analysis
Example
With an OpenAPI spec like:
paths:
/users:
get:
operationId: listUsers
summary: List all users
...
Claude can call the listUsers
tool, and the server will make a GET request to /users
on your behalf.
License
MIT
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