Generates FastMCP tools for PostgreSQL DML operations (insert, select, update, delete) per table based on schema introspection, with Pydantic models for input validation.
A Model Context Protocol server that enables LLMs to retrieve and analyze OpenTelemetry traces and metrics from Logfire, supporting exception tracking and custom SQL queries against telemetry data.
Flask Extension for apcore (AI-Perceivable Core) integration. Expose your Flask routes as MCP tools with auto-discovery, Pydantic schema inference, and built-in observability.
A healthcare MCP demo server exposing clinical resources, tools, and prompts over SSE with authentication, integrated with Pydantic AI and Gemini for natural language patient record updates.