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OpenAPI MCP Server

by gabfr

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. It allows Claude to interact with APIs defined in OpenAPI specifications.

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What is OpenAPI MCP Server?

An MCP server that translates OpenAPI specifications into tools that Claude AI can use to interact with APIs.

How to use OpenAPI MCP Server?

  1. Clone the repository. 2. Install dependencies using npm install. 3. Place your OpenAPI YAML file in the project directory or specify its path via the OPENAPI_FILE environment variable. 4. Configure environment variables like DEBUG and OPENAPI_FILE if needed. 5. Initialize the server with Claude Desktop using npm run init or start manually with npm start.

Key features of OpenAPI MCP Server

  • 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

Use cases of OpenAPI MCP Server

  • Enabling Claude AI to interact with external APIs

  • Automating API interactions through Claude

  • Using Claude to analyze and process data from APIs

  • Integrating Claude with existing systems that have OpenAPI specifications

FAQ from OpenAPI MCP Server

What is an OpenAPI specification?

It's a standard format for describing APIs, allowing machines to understand their capabilities without human intervention.

What is MCP?

Model Context Protocol, a protocol that allows AI models like Claude to interact with external tools and APIs.

How does the server handle authentication?

The server handles authentication based on how it's defined in your OpenAPI specification. You may need to configure environment variables or other settings to provide API keys or other credentials.

Can I use this server with other AI models besides Claude?

This server is specifically designed for Claude AI, but the underlying principles could potentially be adapted for other models with similar tool-calling capabilities.

What happens if an API call fails?

The server will return the error response from the API to Claude for analysis. Debug logging can be enabled to provide more detailed information about the error.