Allow AI to wade through complex OpenAPIs using Simple Language
Documentation
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 installUsage
1. Place your OpenAPI YAML file in the project directory or provide a path to it via environment variables.
2. Set up environment variables (optional):
# Create a .env file
echo "DEBUG=true" > .env
echo "OPENAPI_FILE=./path/to/your/openapi.yaml" >> .env3. Initialize the server with Claude Desktop:
npm run init4. Or run the server manually:
npm startConfiguration
You can configure the server using environment variables:
DEBUG: Set totrueto 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:
1. Extracts all paths and operations
2. Creates a tool for each operation with appropriate input schemas
3. When Claude calls a tool, the server makes the corresponding API request
4. 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
Similar MCP
Based on tags & features
Trending MCP
Most active this week