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fastmcp

Create, validate, and deploy FastMCP MCP servers in Python.

Updated Apr 23, 2026
Search Tags:#automation#python#scaffolding#cli#mcp#server#fastmcp
One-click install
npx skills add https://github.com/Rawgrowth-Consulting/rawclaw-agent --skill fastmcp-rawgrowth-consulting
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastmcp
Source: https://github.com/Rawgrowth-Consulting/rawclaw-agent/tree/main/optional-skills/mcp/fastmcp
Command: npx skills add https://github.com/Rawgrowth-Consulting/rawclaw-agent --skill fastmcp-rawgrowth-consulting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Scaffolds, validates, and deploys MCP servers in Python using FastMCP, simplifying how you create and wire up tools for Claude Code, Cursor, or HTTP endpoints.

Core Features & Use Cases

  • Create MCP servers from templates using a CLI scaffold script.
  • Validate, inspect, and install servers into MCP clients like Claude Code, Claude Desktop, Cursor, or HTTP endpoints.
  • Prepare repos for deployment pipelines and cross-client integration with minimal boilerplate.

Quick Start

Run the scaffolding script to generate a new FastMCP server template.

Frequently Asked Questions about fastmcp

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

FAQPage Schema
How do I create an MCP server in Python using FastMCP?▼

To create an MCP server in Python, you run the provided scaffolding script to generate a FastMCP server template. This script handles the boilerplate setup, allowing you to define tools, resources, and prompts for Claude Code or HTTP deployment.

Can I install a FastMCP server directly into Claude Code or Cursor?▼

Yes, you can install a FastMCP server directly into clients like Claude Code, Claude Desktop, and Cursor. The Skill provides scripts to validate, inspect, and wire the server into these MCP clients for immediate integration.

What is the best way to wrap an existing API as an MCP tool?▼

The best way to wrap an API as an MCP tool is to use the FastMCP scaffolding workflow to generate a server template. You then define your API endpoints as tools within this Python server structure for MCP client exposure.

Do I need Python and FastMCP installed to scaffold an MCP server?▼

Yes, you need Python and FastMCP installed to scaffold an MCP server. The scaffolding process relies on the scaffold_fastmcp.py script and provided templates to generate the server structure within a Python environment.

How do I validate and deploy an MCP server to an HTTP endpoint?▼

To validate and deploy an MCP server to an HTTP endpoint, you use the Skill's scripts to inspect the server template and prepare the repository. This process ensures the server is configured correctly for cross-client integration and HTTP deployment pipelines.

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