Description: Developers increasingly build and integrate with APIs using AI tools such as Cursor, Claude, Claude Code, and ChatGPT. The MCP is becoming the standard way for these tools to connect to external knowledge sources. It lets developers explore endpoints, review request and response schemas, and make live API calls directly from their development environment. MCP server support for API documentation projects would let AI tools and agents work with the complete API reference from within a developer’s own workflow. Proposed Capabilities Support for listing, searching, and retrieving endpoint details, including parameters, schemas, examples, and authentication requirements. Administrative controls to choose which endpoints are exposed and to enable or disable live API execution. Optional execution of live API calls using the end user’s own credentials. Benefits Faster API exploration and integration for developers, directly from the tools they already use. Accurate, up-to-date API context for AI agents and assistants. A seamless experience between API documentation and AI-assisted development.