#1000 · Primary category: AI Agents & Automation
fastapi-mcp-langgraph-template
A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more.
Project last updated:03/03/26
GitHub Stars
556
Forks
86
Contributors
3
License
MIT
Why we included this project
Most LangGraph projects start as a notebook or a single script, and the gap between that and something you can actually run is where this template earns its keep. It pairs a FastAPI backend with MCP client support, so you can plug in community tool servers, and uses LangGraph to keep the agent's state straight. The operational layer is already wired in: SQLModel for persistence, Supabase with pgvector for storage, Langfuse for tracing, and an Nginx reverse proxy. Everything runs through Docker Compose with a devcontainer, so you can bring up the full stack locally and iterate before you worry about deployment. It is a scaffold, not a finished product, so expect to swap in your own MCP servers and agent logic, but the layout is a solid reference for how the pieces fit together.
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