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fastmcp

Scaffold Python MCP servers and validate them with the FastMCP CLI.

Updated Mar 30, 2026
Search Tags:#deployment#python#cli#scaffold#mcp#server#fastmcp
One-click install
npx skills add https://github.com/attentiondotnet/hermes-agent --skill fastmcp-attentiondotnet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastmcp
Source: https://github.com/attentiondotnet/hermes-agent/tree/main/optional-skills/mcp/fastmcp
Command: npx skills add https://github.com/attentiondotnet/hermes-agent --skill fastmcp-attentiondotnet

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

FastMCP provides a complete workflow for quickly creating, validating, and deploying MCP servers in Python using templates, scaffolds, and a CLI-driven lifecycle.

Core Features & Use Cases

  • Template-based scaffolding to generate starter MCP servers (api_wrapper, database_server, file_processor).
  • Local validation and testing with the FastMCP CLI, including inspection, listing, and invoking tools.
  • Easy deployment paths to HTTP endpoints and integration with supported MCP clients (Claude Code/Desktop, Cursor).
  • Optional extension with resources and prompts; an opinionated, end-to-end workflow for production-ready MVPs.

Quick Start

Run the scaffold_fastmcp script to generate a new MCP server and begin local validation.

Frequently Asked Questions about fastmcp

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

FAQPage Schema
How do I create and deploy an MCP server in Python?▼

To create and deploy an MCP server in Python, use FastMCP templates to scaffold starter projects, validate locally with the CLI, and deploy to HTTP endpoints or clients like Claude Desktop.

What is the best way to scaffold a Python MCP server for a database?▼

The best way to scaffold a Python MCP server for a database is using the database_server template, which generates a starter project to accelerate development and ensure repeatable deployments.

Can I test and invoke MCP server tools locally before deployment?▼

Yes, you can test and invoke MCP server tools locally before deployment using the FastMCP CLI to inspect, list, and execute tools to validate your server.

Does the FastMCP scaffold workflow support integration with Cursor and Claude Code?▼

Yes, the FastMCP scaffold workflow supports integration with MCP clients including Cursor and Claude Code, providing easy deployment paths for validated Python servers.

What templates are available for scaffolding an MCP server?▼

Available templates for scaffolding an MCP server include api_wrapper, database_server, and file_processor, enabling template-based generation of production-ready server MVPs.

When should I use a scaffold to build an MCP server instead of starting from scratch?▼

You should use a scaffold to build an MCP server instead of starting from scratch when you need an opinionated, end-to-end workflow with explicit dependencies to ensure reliable, repeatable deployments.

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