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fastmcp

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

PrefectHQPrefectHQ
88/ 100

公开评测 · 综合采用结论

证据充分,整体质量与安全表现优秀

查看评测依据 评测我的项目基于公开项目证据,非安全认证或安装推荐
27.9kstars
2.4kforks
最近更新 4小时前
评测生成时间(北京时间)
本报告引擎
v3.9.0
当前引擎
v3.16.0

本报告与当前引擎使用不同规则;原分数不会自动更新,不同版本的分数不宜直接对比。

重新评测此项目

进入后确认来源与额度,提交才会创建任务。

Evaluation report

综合采用结论

88
A
满分 100
值得推荐低风险
决策摘要

证据充分,整体质量与安全表现优秀

62%
中置信度
80
文档
100
安全
85
质量
100
活跃
70
采用
  • 基础评测完成+25/25确定性评分与静态安全扫描已完成
  • README 有效证据+14/255,632 个去重后的有效字符
  • 独立证据来源+8/202 类非重复证据,重复文件不叠加
  • 仓库元数据+10/10已取得仓库状态与采用数据
  • 活跃记录+5/5已取得最近提交时间
  • AI 复核+0/15未启用 AI 复核,本项不加分
How it works · 未生成图示

本次报告未完成图示提取

本次评测未完成 AI 证据提取;确定性评分与安全扫描仍然有效。重新评测后,证据充分时会自动选择合适图型。

补充参与方或组件说明谁参与、各自负责什么
说明关系与顺序提供输入输出、调用或依赖证据
重新评测自动选图按证据选择流程、时序或架构图
五维表现
确定性工程质量 85/100 · AI 复核暂不可用
采用建议
优势
  • 问题与用途描述
  • 有效 README
  • 安装或接入步骤
  • 可执行示例
  • 未发现已知高风险模式
关注点
  • 缺少限制、权限或边界
  • 缺少错误处理或排障

也有自己的公开项目?先看完证据,再用当前规则生成独立报告。

评测我的项目 →
文档证据
80/100
问题与用途描述10 分
有效 README12 分
安装或接入步骤14 分
可执行示例16 分
输入、参数或工具说明11 分
输出或结果说明9 分
限制、权限或边界12 分
错误处理或排障8 分
许可证信息5 分
结构化章节3 分
安全证据
低风险
未发现已知高风险模式

静态扫描不是安全保证,生产接入前仍应人工复核权限和数据边界。

优先改进清单
  1. 01补充限制、权限或边界
  2. 02补充错误处理或排障
方法、证据与局限展开
数据来源

GitHub Repository API

扫描范围

2 个文件 · 13,022 字符

评测引擎

v3.9.0 · AI 复核未启用

局限
  • 静态评测不会安装或执行项目代码
  • 安全扫描基于高信号文件与已知模式,不能替代人工审计
  • 流行度只反映采用程度,不代表安全或工程质量

30 天热度趋势

README

FastMCP Logo

FastMCP 🚀

Move fast and make things.

Made with 💙 by Prefect

Docs Discord PyPI - Version TypeScript Tests License

prefecthq%2Ffastmcp | Trendshift


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:

Servers
Servers

Expose tools, resources, and prompts to LLMs.
Apps
Apps

Give your tools interactive UIs rendered directly in the conversation.
Clients
Clients

Connect to any MCP server — local or remote, programmatic or CLI.

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.