OpenAPI MCP Server

The OpenAPI MCP Server solves a common pain point for developers who want to expose their RESTful APIs to AI assistants without writing bespoke integrations. By taking any OpenAPI/Swagger specification and automatically converting it into Model Context Protocol (MCP) tools, the server lets assistants such as Claude Desktop call your endpoints directly. This removes the need for custom connectors, reduces development time, and keeps the AI’s interaction logic consistent across services.

At its core, the server parses an OpenAPI definition and emits a set of MCP tools that mirror each operation in the specification. Every tool includes a human‑readable name, description, and a structured request schema derived from the operation’s parameters and body. When an AI sends a tool invocation, the server translates it back into an HTTP request that targets your API’s base URL, applying any configured authentication. The response is then wrapped in an MCP-compatible format and returned to the assistant, allowing it to incorporate real‑world data or trigger actions within your application.

Key capabilities include:

• Broad OpenAPI support for v3.0.0 and v3.1.0, ensuring compatibility with most modern APIs.
• Robust authentication handling for HTTP Basic, Bearer tokens, and header‑based API keys, with support for any RFC 7235 scheme.
• Automatic tool generation that respects operation IDs, guaranteeing unique and descriptive tool names.
• Environment‑driven configuration, allowing the base URL and custom headers to be set via and .

Typical use cases span from internal tooling—where a product manager can ask an AI to create a new customer record—to public services, where end‑users invoke API actions through conversational interfaces. In CI/CD pipelines, the server can be invoked to validate API contracts or trigger deployments based on conversational commands. Because it adheres strictly to MCP, the server integrates seamlessly into any workflow that already uses AI assistants, providing a unified method for executing external actions without leaving the chat.

What sets this server apart is its zero‑code integration path: developers need only supply a valid OpenAPI spec and configure the base URL, and the server is ready to expose every endpoint as an MCP tool. This eliminates boilerplate, reduces the risk of mismatched schemas, and ensures that any changes to the API are automatically reflected in the assistant’s capabilities. The result is a scalable, maintainable bridge that empowers AI assistants to act as real‑world clients of your services.