fastmcp

Build, test, and deploy Python MCP servers with FastMCP templates and CLI workflows.

Updated Jun 7, 2026
One-click install
npx skills add https://github.com/Chensihakniroth/ANAKOT-AGENT --skill fastmcp-chensihakniroth
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastmcp
Source: https://github.com/Chensihakniroth/ANAKOT-AGENT/tree/main/optional-skills/mcp/fastmcp
Command: npx skills add https://github.com/Chensihakniroth/ANAKOT-AGENT --skill fastmcp-chensihakniroth

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastmcp, httpx, and includes scripts (resource) and references (resource) components.

What problem does it solve? Creating a Model Context Protocol server from scratch involves boilerplate, tool design decisions, and client integration steps that are easy to get wrong. This Skill provides ready-made FastMCP templates, a scaffolding script, and a validated CLI workflow so you can go from idea to a tested, installable MCP server without guesswork. ## Core Features & Use Cases - Starter Templates: Three production-shaped templates covering REST API wrappers, read-only SQLite database servers, and text-file processors. - Scaffolding Script: Copy a template and inject your server name in one command with scripts/scaffold_fastmcp.py. - CLI Validation Workflow: Inspect, list, and call tools with the FastMCP CLI before installing into Claude Code, Claude Desktop, Cursor, or deploying over HTTP. - Use Case: You need to expose your company's internal REST API to an AI assistant. Scaffold the api_wrapper template, implement two or three typed tools, verify them with fastmcp call, then install the server into Cursor. ## Quick Start Ask the agent to scaffold a new FastMCP server from the api_wrapper template named after your API and verify it with fastmcp inspect.

Frequently Asked Questions about fastmcp

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

FAQPage Schema
How do I build an MCP server in Python with FastMCP?▼

Install fastmcp with pip, create a FastMCP instance, and decorate functions with @mcp.tool to expose them as tools. Validate the server locally with fastmcp inspect and fastmcp call before installing it into any MCP client.

How to wrap a REST API as MCP tools?▼

Start from an API wrapper template that centralizes httpx requests in one helper, keeps auth tokens in environment variables, and exposes one read path plus one search path. Normalize upstream errors and payloads before returning structured JSON.

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

Yes, FastMCP supports direct installation with commands like fastmcp install claude-code server.py and fastmcp install cursor server.py. Client installs run in isolated environments, so declare dependencies explicitly with flags like --with or editable installs.

Why does fastmcp inspect fail on my server file?▼

Inspection usually fails when the file has import-time side effects that crash, the FastMCP object name does not match the file:object spec, or optional template dependencies like httpx are missing. Fix imports and install dependencies, then rerun fastmcp inspect.

When should I use FastMCP versus connecting an existing MCP server?▼

Use FastMCP when you are creating a new server or wrapping an API, database, or file workflow as tools. If a server already exists and only needs to be connected to your agent, configure it directly in the client config instead of building anything.