Swagger MCP Server

Overview

The Swagger MCP Server turns any Swagger/OpenAPI specification into a fully‑featured Model Context Protocol (MCP) endpoint. By parsing the spec it automatically generates MCP tools that mirror every API operation, allowing AI assistants to call those endpoints as if they were native functions. This eliminates the need for manual tool definitions and keeps the AI’s capabilities in sync with the underlying API whenever the spec changes.

Developers use this server to expose secure, typed APIs to Claude or other MCP‑enabled assistants. The server supports a wide range of authentication mechanisms—including Basic Auth, Bearer tokens, API keys in headers or query strings, and OAuth2—directly from the OpenAPI security schemes. When a spec does not declare authentication, the server falls back to credentials supplied in its configuration file, ensuring that protected endpoints remain accessible without additional coding effort.

Key capabilities include:

• Automatic tool generation: Every path and HTTP method in the spec becomes an MCP tool with properly typed parameters, derived from request schemas.
• Real‑time communication: Server‑Sent Events (SSE) allow the assistant to receive live updates, making it suitable for monitoring dashboards or streaming data scenarios.
• TypeScript support: The server is written in TypeScript, providing type safety for developers and clearer documentation of the generated tools.

Typical use cases involve building internal chatbots that need to query corporate APIs, creating documentation assistants that can execute example calls, or enabling developers to prototype API interactions directly from a conversational interface. By abstracting the underlying HTTP details, AI assistants can focus on intent and response generation while the server handles request construction, authentication, and error handling.

Integration into existing AI workflows is straightforward: an MCP client sends a message containing the desired tool name and arguments; the server translates this into a REST call, applies authentication, and streams back the response. Because the tools are derived from the OpenAPI spec, any changes to the API—new endpoints, updated schemas, or altered security—are automatically reflected in the assistant’s capabilities without code modifications.

The Swagger MCP Server stands out by coupling the rigor of OpenAPI definitions with the flexibility of MCP, providing a secure, real‑time bridge between AI assistants and complex APIs. Its automatic tool generation, comprehensive authentication support, and SSE capability make it a powerful asset for developers looking to expose internal services to conversational AI in a maintainable, scalable way.