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NaimalArain13
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mcp-server

Build MCP servers with the official Python SDK and FastAPI integration.

2|Updated Dec 4, 2025
Search Tags:#integration#fastapi#python#mcp#server#model-context-protocol#transport
One-click install
npx skills add https://github.com/NaimalArain13/Hackathon-II_The-Evolution-of-Todo --skill mcp-server-naimalarain13
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-server
Source: https://github.com/NaimalArain13/Hackathon-II_The-Evolution-of-Todo/tree/main/.claude/skills/mcp-server
Command: npx skills add https://github.com/NaimalArain13/Hackathon-II_The-Evolution-of-Todo --skill mcp-server-naimalarain13

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables developers to build MCP (Model Context Protocol) servers quickly using the official Python SDK, exposing tools, resources, prompts, and transport integrations for scalable AI agent backends.

Core Features & Use Cases

  • FastMCP API integration: Define tools (@mcp.tool), resources (@mcp.resource), and prompts (@mcp.prompt) to power dynamic AI agents.
  • FastAPI/Starlette integration: Mount MCP servers into modern web apps for REST and streaming interactions.
  • Transport diversity: Support stdio, SSE, and streamable-http transports for local development, web apps, and production deployments.
  • Database integration: Demonstrates persistence and data access for tools and resources through a lifespan context.

Quick Start

  1. Install dependencies such as mcp, fastapi, uvicorn, and sqlmodel in your Python environment.
  2. Bootstrap an MCP server using the provided templates or your own models, then run it with a suitable transport (stdio, SSE, or streamable-http).

Frequently Asked Questions about mcp-server

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

FAQPage Schema
How do I build an MCP server with Python and FastAPI?▼

To build an MCP server with Python, use the official SDK to define tools, resources, and prompts via decorators, then mount the server into FastAPI or Starlette for REST and streaming interactions.

What transports are supported when running an MCP server?▼

MCP servers support stdio for local development, SSE for streaming interactions, and streamable-http for production web app deployments, enabling flexible transport integration across environments.

Can I expose database-backed workflows through an MCP server?▼

Yes, MCP servers can expose database-backed workflows by using a lifespan context to manage persistence and data access for tools and resources defined with SQLModel.

How do I define tools and resources for an MCP server?▼

You define tools, resources, and prompts for an MCP server using the FastMCP API decorators, specifically @mcp.tool and @mcp.resource, to power dynamic AI agent interactions.

What's the best way to integrate a Python MCP server into a modern web app?▼

The best way to integrate an MCP server into a modern web app is mounting it directly into FastAPI or Starlette, enabling both REST and streaming interactions over supported transports.

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