A lean MCP server giving LLM agents full access to the ShotGrid / Autodesk Flow Production Tracking API through 15 curated tools, including generic CRUD, schema discovery, and safe writes with a dry_run flag.
MCP server for Autodesk Flow Production Tracking (ShotGrid) enabling AI assistants to query, create, update, and delete entities via the ShotGrid API with built-in RAG anti-hallucination and safety layers.
A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).
A production-grade MCP server designed for multi-tenant, authenticated, and observable AI agent systems, enabling secure tool execution across heterogeneous data sources.
A production-ready Python scaffold for building Model Context Protocol (MCP) servers using FastMCP. It provides a structured framework for developers and AI agents to rapidly develop, test, and manage custom tools and workflows.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
