OpenAPI MCP Server

OpenAPI MCP Server

Allow AI to wade through complex OpenAPIs using Simple Language

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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

  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" >> .env
  1. Initialize the server with Claude Desktop:
npm run init
  1. Or run the server manually:
npm start

Configuration

You can configure the server using environment variables:

  • DEBUG: Set to true 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:

  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

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