fastmcp

Automate building, testing, and deploying FastMCP servers in Python.

Updated May 3, 2026
One-click install
npx skills add https://github.com/JuanMS20/solviora-agent --skill fastmcp-juanms20
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastmcp
Source: https://github.com/JuanMS20/solviora-agent/tree/main/optional-skills/mcp/fastmcp
Command: npx skills add https://github.com/JuanMS20/solviora-agent --skill fastmcp-juanms20

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates the end-to-end workflow for building, validating, and deploying MCP servers using FastMCP in Python, removing manual setup friction.

Core Features & Use Cases

  • Scaffold new MCP servers from templates using scripts/scaffold_fastmcp.py
  • Validate and inspect servers with FastMCP CLI, and install into supported clients like Claude Code, Claude Desktop, and Cursor
  • Use included templates (api_wrapper.py, database_server.py, file_processor.py) to expose tools, resources, or prompts
  • Consult references/fastmcp-cli.md for detailed CLI workflows and deployment checks
  • Example: quickly generate a new server and get it ready for local testing and client deployment

Quick Start

Run the scaffold helper to generate a new MCP server from a template, customize it, and run tests locally.

Frequently Asked Questions about fastmcp

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

FAQPage Schema
How do I scaffold a new MCP server in Python?

To scaffold an MCP server in Python, run the provided scaffold_fastmcp.py script to generate a new server from templates like api_wrapper.py or database_server.py. This automates the initial project setup, allowing you to immediately customize tools, resources, and prompts.

Can I install and test MCP servers directly in Claude Code or Cursor?

Yes, you can install and test MCP servers directly in Claude Code, Claude Desktop, and Cursor. The FastMCP CLI validates, inspects, and installs your Python server into these clients, streamlining the local testing and deployment workflow.

What templates are available for building MCP servers with FastMCP?

Available templates for building MCP servers with FastMCP include api_wrapper.py, database_server.py, and file_processor.py. These templates help expose APIs, databases, and file processing logic as MCP tools, resources, or prompts.

Do I need Python 3 to deploy MCP servers using FastMCP?

Yes, Python 3 is required to build and deploy MCP servers using FastMCP. The scaffolding script and the FastMCP runtime rely on Python 3 to generate templates, validate servers, and integrate with clients like Claude Code.

How do I wrap an API or database as an MCP tool?

You can wrap an API or database as an MCP tool by generating a server from the api_wrapper.py or database_server.py templates. The scaffold_fastmcp.py script initializes the Python project, allowing you to expose endpoints and queries as MCP resources.

What is the best way to inspect an MCP server before deployment?

The best way to inspect an MCP server before deployment is using the FastMCP CLI. It validates and inspects your Python server to ensure it functions correctly before installing it into clients like Claude Code or Cursor.