OpenAPI MCP Proxy

The OpenAPI MCP Server turns any RESTful service that has an OpenAPI specification into a fully‑featured Model Context Protocol (MCP) endpoint. In practice, this means that developers can expose the capabilities of existing APIs—whether they are internal microservices, third‑party SaaS endpoints, or legacy systems—to AI assistants and agents that understand MCP without touching the original codebase. The tool reads an OpenAPI file, automatically generates the necessary MCP schema, and forwards incoming MCP calls to the underlying REST API while translating between the two protocols. This seamless bridge removes the friction of manually building MCP adapters for each service.

For developers working with AI assistants, the value lies in instant tool discovery and invocation. An MCP server provides a standard contract that agents can query to learn about available resources, required parameters, and expected responses. Once the agent knows a service’s interface, it can request data or trigger actions with confidence that the underlying call will be correctly formatted. The OpenAPI MCP Server therefore eliminates the need for custom wrappers or SDKs, allowing teams to focus on business logic while AI agents handle integration automatically.

Key capabilities include:

• Automatic MCP generation from any OpenAPI spec, ensuring that the server stays in sync with API changes.
• Transparent request proxying, so calls made by agents are forwarded to the real service with no latency penalty beyond network hops.
• Bidirectional translation between MCP’s resource and tool semantics and REST’s HTTP verbs, headers, and JSON payloads.
• Easy configuration via command‑line flags or environment variables, making it suitable for both local testing and production deployments.
• Built‑in compatibility with MCP Inspector, VS Code’s Agent Mode, and other tooling that consumes MCP endpoints.

Real‑world scenarios where this server shines include automating customer support workflows (an AI agent can query a ticketing system’s OpenAPI spec and create tickets on demand), integrating with internal data pipelines (the agent can trigger ETL jobs exposed as REST endpoints), or orchestrating IoT devices that expose Swagger‑documented APIs. Because the MCP server handles all protocol translation, developers can add new services simply by deploying a fresh OpenAPI spec; no code changes are required in the AI assistant’s configuration.

In summary, the OpenAPI MCP Server empowers developers to expose any well‑documented REST API as a first‑class tool for AI assistants, dramatically reducing integration effort and accelerating the deployment of intelligent applications.