integrate-fastapi-fastmcp

Integrate FastAPI applications with FastMCP servers in a uv-managed Python project.

6|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/gaelic-ghost/socket --skill integrate-fastapi-fastmcp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: integrate-fastapi-fastmcp
Source: https://github.com/gaelic-ghost/socket/tree/main/plugins/python-skills/skills/integrate-fastapi-fastmcp
Command: npx skills add https://github.com/gaelic-ghost/socket --skill integrate-fastapi-fastmcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Projects that need to combine a FastAPI REST surface with a FastMCP server often lack clear guidance on how to mount, generate, or co‑host these interfaces while keeping a single uv‑managed Python environment.

Core Features & Use Cases

  • Pattern A – Mount existing MCP into FastAPI: Shows how to import a curated FastMCP instance and mount it as a sub‑app, preserving lifespans and middleware.
  • Pattern B – Generate FastMCP from FastAPI: Provides a quick bootstrap using FastMCP.from_fastapi and advises on reviewing generated tools and endpoints.
  • Pattern C – Serve both API and MCP from one process: Demonstrates combining routes and lifespans for a unified deployment.
  • Pattern D – Promote generated MCP to a curated service: Guides the transition from auto‑generated code to a production‑ready FastMCP application.
  • UV workflow guidance: Details dependency management with uv add, running tests, and handling workspace‑aware commands.
  • Validation checklist: Ensures configuration coherence, lifespan correctness, and proper testing of both HTTP and MCP sides.

Quick Start

Use the integrate-fastapi-fastmcp skill to determine the best integration pattern and generate the necessary FastMCP mounting code for my uv project.

Frequently Asked Questions about integrate-fastapi-fastmcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate FastAPI with FastMCP in a single Python project?

To integrate FastAPI with FastMCP, you can mount a curated FastMCP instance as a sub-app or serve both interfaces from one process using a unified lifespan. This keeps both REST and MCP surfaces in a single uv-managed Python environment.

Can I auto-generate an MCP server from an existing FastAPI application?

Yes, you can auto-generate an MCP server from an existing FastAPI application using the `FastMCP.from_fastapi` bootstrap method. You should review the generated tools and endpoints before transitioning the code to a production-ready curated service.

What is the best way to co-host REST and MCP interfaces from one FastAPI codebase?

The best way to co-host REST and MCP interfaces from one FastAPI codebase is to combine routes and lifespans for a unified deployment. This pattern ensures both interfaces share the same uv-managed environment and configuration settings.

Does integrating FastMCP into FastAPI require the uv package manager?

Yes, integrating FastMCP into FastAPI requires the uv package manager for dependency management. The workflow relies on uv to handle `uv add` commands, run tests, and manage workspace-aware commands across the shared Python project.

How do I preserve middleware and lifespans when mounting FastMCP into FastAPI?

To preserve middleware and lifespans when mounting FastMCP into FastAPI, import the curated FastMCP instance and mount it as a sub-app. This pattern maintains configuration coherence and ensures both interfaces operate correctly.

What are the limitations of auto-generating FastMCP from FastAPI?

Auto-generating FastMCP from FastAPI produces quick bootstrap code that requires review. You must validate the generated tools and endpoints, and promote the code to a curated service to ensure proper lifespan correctness and production readiness.