A Model Context Protocol server that enables LLMs to explore and interact with API specifications by providing tools for loading, browsing, and getting detailed information about API endpoints.
A Model Context Protocol server that loads multiple OpenAPI specifications and exposes them to LLM-powered IDE integrations, enabling AI to understand and work with your APIs directly in development tools like Cursor.
A Model Context Protocol Server that enables LLMs to interact with and execute REST API calls through natural language prompts, supporting GET/PUT/POST/PATCH operations on configured APIs.
A Model Context Protocol (MCP) server that converts OpenAPI/Swagger specifications to MCP format, enabling AI assistants to interact with REST APIs through standardized protocol.
A Model Context Protocol (MCP) server for analyzing OpenAPI specifications with LLM clients, enabling natural language queries about API structures, endpoints, schemas, and inconsistency detection across multiple specs.
A Model Context Protocol server that generates and runs mock API servers from API documentation like OpenAPI/Swagger specs, enabling developers and AI assistants to quickly spin up mock backends for development and testing.