Auto-converts FastAPI endpoints into MCP tools for semantic search, data ingestion (text, code, conversations), and knowledge graph operations. Provides dual access through MCP protocol and direct API calls with automatic tool generation from FastAPI routes.
Converts FastAPI application OpenAPI documentation into MCP tools for AI assistants to efficiently query API information. Reduces token consumption by enabling on-demand, structured API queries instead of loading complete OpenAPI specifications.
Enables querying internal documents via a FastAPI REST API and MCP server, using retrieval-augmented generation and an agentic loop that can invoke tools like document search and calculations.
Turns existing FastAPI routes and custom Python functions into MCP tools, exposing them over ASGI, SSE, or stdio so desktop and chat AI clients can call them with native dependency-injected auth, progressive tool discovery, and self-correcting error responses. It also serves interactive in-chat HTML/JS widgets and a built-in browser inspector for testing tools without external CLIs.