fastmcp-server-setup

Community

Build MCP servers for AI agents.

Authormaneeshanif
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill guides the creation of MCP (Model Context Protocol) servers using the FastMCP Python SDK, enabling AI agents to call deterministic tasks exposed as tools.

Core Features & Use Cases

  • Tool registration: Define tools using @mcp.tool to expose automation capabilities to clients.
  • Transport options: Support for stdio, HTTP, and SSE transports to fit different deployment scenarios.
  • Server patterns: CRUD tasks, prompts, resources, and client usage patterns with FastMCP.
  • Use Case: Expose a set of data operations that an agent can invoke via HTTP to manage tasks and workflows.

Quick Start

  1. Install the FastMCP dependency (uv add fastmcp).
  2. Create a basic MCP server file and register tools with @mcp.tool.
  3. Run the server with an HTTP transport to enable agent integration (uv run python path/to/server.py).

Dependency Matrix

Required Modules

fastmcp

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: fastmcp-server-setup
Download link: https://github.com/maneeshanif/todo-spec-driven/archive/main.zip#fastmcp-server-setup

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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