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mcp-server

Create Python MCP servers with decorators and FastAPI/Starlette transports.

Updated Dec 28, 2025
Search Tags:#fastapi#sqlmodel#python#mcp#server#fastmcp
One-click install
npx skills add https://github.com/shuremali02/The-Evolution-of-Todo---Mastering-Spec-Driven-Development---Cloud-Native-AI --skill mcp-server-shuremali02
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-server
Source: https://github.com/shuremali02/The-Evolution-of-Todo---Mastering-Spec-Driven-Development---Cloud-Native-AI/tree/main/.claude/skills/mcp-server
Command: npx skills add https://github.com/shuremali02/The-Evolution-of-Todo---Mastering-Spec-Driven-Development---Cloud-Native-AI --skill mcp-server-shuremali02

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MCP servers are often complex to assemble, requiring boilerplate for tooling, API integration, and lifecycle management across FastAPI/Starlette apps. This Skill provides a ready-to-use pattern to assemble and deploy production-grade MCP servers with consistent tooling, resources, and prompts.

Core Features & Use Cases

  • Declarative MCP server definitions using decorators (@mcp.tool, @mcp.resource, @mcp.prompt)
  • Ready-to-mount integrations for FastAPI/Starlette and transports (stdio, SSE, streamable-http)
  • Practical templates and references to accelerate development and ensure best practices

Quick Start

Create a minimal MCP server with a few tools and resources, then expose it via streamable-http for production use.

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 FastAPI and Python?▼

You can build an MCP server with FastAPI by using the Python SDK's declarative decorators like @mcp.tool and @mcp.resource. The Skill provides ready-to-mount integrations for FastAPI/Starlette to quickly assemble production-grade endpoints.

What is the best way to expose an MCP server over streamable-http or SSE?▼

The best way to expose an MCP server over streamable-http or SSE is by applying the provided patterns across multiple transports. The Skill includes templates and references to configure these transports for production-ready endpoints.

Can I use FastMCP decorators to define tools, resources, and prompts together?▼

Yes, you can use FastMCP decorators to define tools, resources, and prompts together. The Skill enforces declarative definitions using @mcp.tool, @mcp.resource, and @mcp.prompt to ensure consistent tooling and reduce boilerplate.

Does this approach handle secure lifecycle management and error handling for MCP servers?▼

Yes, this approach handles secure lifecycle management and error handling for MCP servers. The Skill ensures secure lifecycle management and proper error handling to deploy production-grade MCP servers without assembly boilerplate.

Why use SQLModel when creating an MCP server?▼

Using SQLModel when creating an MCP server helps structure data interactions within your Python application. The Skill leverages SQLModel alongside FastAPI to provide a ready-to-use pattern for assembling production-grade endpoints.

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