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fastmcp

🚀 The fast, Pythonic way to build MCP servers and clients.

Install / Use

claude mcp add PrefectHQ -- npx -y github:PrefectHQ/fastmcp

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

87/100

Supported Platforms

Claude Code
Claude Desktop

Our assessment of fastmcp

fastmcp scores 87/100 on our quality scale, 460th of 966 AI & Machine Learning skills we index (top 48%).

Its MCP Server is 7.2 KB long, split into 6 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

With 28,319 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
16/20
Description
8/15
Adoption
19/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so fastmcp is actively maintained.
  • Our last check on 2026-10-17 found the source still online.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 95/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

fastmcp compared with similar skills

All 4 of these similar skills score higher than fastmcp; compare them before choosing.

SkillScoreStarsUpdatedFormat
fastmcp (this skill)by PrefectHQ8728.3ktodayMCP Server
claude-memby thedotmack100113.5ktodayCLAUDE.md
Agent-Reachby Panniantong100109.2ktodayCLAUDE.md
Understand-Anythingby Egonex-AI10090.9k10d agoCLAUDE.md
headroomby headroomlabs-ai10078.9ktodayCLAUDE.md

Frequently asked questions

How do I install fastmcp?
Run claude mcp add PrefectHQ -- npx -y github:PrefectHQ/fastmcp. The install tabs above show the steps for each supported agent.
Which AI agents does fastmcp work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is fastmcp safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 95/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is fastmcp still maintained?
The repository was last updated today, so fastmcp is actively maintained.
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FastMCP 🚀

<strong>Move fast and make things.</strong>

Made with 💙 by Prefect

Docs Discord PyPI - Version TypeScript Tests License

<a href="https://trendshift.io/repositories/21461" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21461" alt="prefecthq%2Ffastmcp | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>

</div>

The Model Context Protocol (MCP) connects LLMs to tools and data. FastMCP is a full MCP application framework for servers, clients, and interactive apps. A server starts with ordinary Python:

from fastmcp import FastMCP

mcp = FastMCP("Demo 🚀")

@mcp.tool
def add(a: int, b: int) -> int:
    """Add two numbers"""
    return a + b

if __name__ == "__main__":
    mcp.run()

Why FastMCP

Building an effective MCP application is harder than it looks. FastMCP handles all of it. Declare a tool with a Python function, and the schema, validation, and documentation are generated automatically. Connect to a server with a URL, and transport negotiation, authentication, and protocol lifecycle are managed for you. You focus on your logic, and the MCP part just works: with FastMCP, best practices are built in.

That's why FastMCP is the standard framework for working with MCP. FastMCP 1.0 was incorporated into the official MCP Python SDK in 2024. Today, the actively maintained standalone project is downloaded a million times a day, and some version of FastMCP powers 70% of MCP servers across all languages.

FastMCP has three pillars:

<table> <tr> <td align="center" valign="top" width="33%"> <a href="https://gofastmcp.com/servers/server"> <img src="https://raw.githubusercontent.com/PrefectHQ/fastmcp/main/docs/assets/images/servers-card.png" alt="Servers" /> <br /><strong>Servers</strong> </a> <br />Expose tools, resources, and prompts to LLMs. </td> <td align="center" valign="top" width="33%"> <a href="https://gofastmcp.com/apps/overview"> <img src="https://raw.githubusercontent.com/PrefectHQ/fastmcp/main/docs/assets/images/apps-card.png" alt="Apps" /> <br /><strong>Apps</strong> </a> <br />Give your tools interactive UIs rendered directly in the conversation. </td> <td align="center" valign="top" width="33%"> <a href="https://gofastmcp.com/clients/client"> <img src="https://raw.githubusercontent.com/PrefectHQ/fastmcp/main/docs/assets/images/clients-card.png" alt="Clients" /> <br /><strong>Clients</strong> </a> <br />Connect to any MCP server — local or remote, programmatic or CLI. </td> </tr> </table>

Servers wrap your Python functions into MCP-compliant tools, resources, and prompts. Clients connect to any server with full protocol support. And Apps give your tools interactive UIs rendered directly in the conversation.

Building in TypeScript? FastMCP for TypeScript is the official counterpart, built and maintained by the same team. Same pillars, same ideas, npm install @prefecthq/fastmcp-ts.

Ready to build? Start with the installation guide or jump straight to the quickstart.

Scale MCP with Horizon

FastMCP handles the MCP application layer. Prefect Horizon is the enterprise MCP gateway for scaling servers and tools across teams, with centralized governance over how they are deployed, discovered, secured, and used.

FastMCP and Horizon are built by the same team at Prefect.

Deploy FastMCP servers from GitHub with branch previews and instant rollback. Create a private registry of every MCP your company uses. Secure access with SSO and tool-level RBAC. Get audit logs, observability, and governance across your MCP stack. Remix approved tools into purpose-built endpoints for teams and agents.

Start with FastMCP. Scale with Horizon →

Installation

We recommend adding FastMCP to your project with uv:

uv add fastmcp

For full installation instructions, including verification and upgrading, see the Installation Guide.

Upgrading? We have guides for:

📚 Documentation

FastMCP's complete documentation is available at gofastmcp.com, including detailed guides, API references, and advanced patterns.

Documentation is also available in llms.txt format, which is a simple markdown standard that LLMs can consume easily:

  • llms.txt is essentially a sitemap, listing all the pages in the documentation.
  • llms-full.txt contains the entire documentation. Note this may exceed the context window of your LLM.

Community: Join our Discord server to connect with other FastMCP developers and share what you're building.

Contributing

We welcome contributions! See the Contributing Guide for setup instructions, testing requirements, and PR guidelines.

Related Skills

View on GitHub
GitHub Stars28.3k
CategoryAI
Updated6h ago
Forks2.6k

Languages

Python

Trust signals

95/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low