NicholasGoh/fastapi-mcp-langgraph-template
A template for building and deploying AI agents using LangGraph and MCP for orchestration and tool integration.
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This repository provides a production-ready template for building AI agent systems. It combines LangGraph for agent workflow orchestration, MCP (Model Context Protocol) for tool and data source integration, and FastAPI as the serving layer. The stack includes observability tooling (Langfuse, Grafana, Prometheus) and database infrastructure (Supabase/SQLModel) to support scalable agent deployments.
Frequently asked
- What is NicholasGoh/fastapi-mcp-langgraph-template?
- A template for building and deploying AI agents using LangGraph and MCP for orchestration and tool integration.
- Is fastapi-mcp-langgraph-template open source?
- Yes — NicholasGoh/fastapi-mcp-langgraph-template is open source, released under the MIT license.
- What language is fastapi-mcp-langgraph-template written in?
- NicholasGoh/fastapi-mcp-langgraph-template is primarily written in Python.
- How popular is fastapi-mcp-langgraph-template?
- NicholasGoh/fastapi-mcp-langgraph-template has 553 stars on GitHub.
- Where can I find fastapi-mcp-langgraph-template?
- NicholasGoh/fastapi-mcp-langgraph-template is on GitHub at https://github.com/NicholasGoh/fastapi-mcp-langgraph-template.