OpenAPI-MCP
The OpenAPI-MCP proxy server simplifies integration between AI agents and external APIs by dynamically converting OpenAPI specifications into standard MCP tools, resources, and prompts. This approach removes the need for custom wrappers, supporting a seamless work environment for LLM orchestrators.
What is the primary purpose of the OpenAPI-MCP proxy?
The primary purpose is to translate OpenAPI specifications into MCP tools, resources, and prompts, enabling AI agents to access external APIs without custom wrappers.
How does the proxy handle authentication?
The proxy supports OAuth2 authentication via the Client Credentials flow, allowing secure access to APIs.
What platforms are supported for integration?
The proxy can be integrated with platforms like Claude Desktop, Cursor, and Windsurf using stdio transport.
Does the proxy support JSON-RPC 2.0?
Yes, the proxy is fully compliant with the JSON-RPC 2.0 request/response structure.
How are resources and prompts generated?
Resources are derived from OpenAPI component schemas, and prompts are generated based on API operations to guide LLMs.