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Agent Skill · 研究检索

fastmcp-server(快速 MCP 服务器)

fastmcp-server 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

fastmcp-server 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 33,997。

总安装 2,280周安装 95GitHub Stars 26,438下载 760核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:fastmcp-server(快速 MCP 服务器)
来源仓库:https://github.com/davila7/claude-code-templates
仓库路径:skills/fastmcp-server
安装命令:
npx skills add https://github.com/davila7/claude-code-templates --skill fastmcp-server
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/davila7/claude-code-templates --skill fastmcp-server

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

fastmcp-server 提供基于 FastMCP 3.0 构建生产级 MCP 服务器的完整技术规范与升级指南。适用于在 Codex、Claude、Cursor、Gemini CLI 中实现工具注册、中间件与提供者配置。支持 OAuth、OIDC 等认证方式,并提供本地、文件系统等多种数据存储后端选项。

使用前请确认项目已安装 FastMCP 3.0+,并检查 Python 环境满足依赖项要求。建议启用遥测与日志记录,便于监控服务器运行状态与 LLM 交互质量。

来源仓库内路径:skills/fastmcp-server

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/davila7/claude-code-templates --skill fastmcp-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

fastmcp-server 怎么安装?

在终端执行 npx skills add https://github.com/davila7/claude-code-templates --skill fastmcp-server。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

fastmcp-server 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

fastmcp-server 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

fastmcp-server 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

fastmcp-server 用的人多吗?

公开数据是累计安装 2,280 次,近一周安装 95 次,下载 760 次,GitHub 26,438 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

fastmcp-server 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 26,438 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
fastmcp-server

快速 MCP 服务器 · 本页

2,28026,438调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

FastMCP 3.0 Server Development

Complete reference for building production-ready MCP (Model Context Protocol) servers with FastMCP 3.0 - the fast, Pythonic framework for connecting LLMs to tools and data.

When to use this skill

Use FastMCP Server when:

  • Creating a new MCP server in Python
  • Adding tools, resources, or prompts to an MCP server
  • Implementing authentication (OAuth, OIDC, token verification)
  • Setting up middleware for logging, rate limiting, or authorization
  • Configuring providers (local, filesystem, skills, custom)
  • Building production MCP servers with telemetry and storage
  • Upgrading from FastMCP 2.x to 3.0

Key areas covered:

  • Tools & Resources (CORE): Decorators, validation, return types, templates
  • Context & DI (CORE): MCP context, dependency injection, background tasks
  • Authentication (SECURITY): OAuth, OIDC, token verification, proxy patterns
  • Authorization (SECURITY): Scope-based and role-based access control
  • Middleware (ADVANCED): Request/response pipeline, built-in middleware
  • Providers (ADVANCED): Local, filesystem, skills, and custom providers
  • Features (ADVANCED): Pagination, sampling, storage, OpenTelemetry, versioning

Quick reference

Core patterns

Create a server with tools:

from fastmcp import FastMCP

mcp = FastMCP("MyServer")

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

Create a resource:

@mcp.resource("data://config")
def get_config() -> dict:
    """Return server configuration"""
    return {"version": "1.0", "debug": False}

Create a resource template:

@mcp.resource("users://{user_id}/profile")
def get_user_profile(user_id: str) -> dict:
    """Get a user's profile by ID"""
    return fetch_user(user_id)

Create a prompt:

@mcp.prompt
def review_code(code: str, language: str = "python") -> str:
    """Review code for best practices"""
    return f"Review this {language} code:\n\n{code}"

Run the server:

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

# Or with transport options:
# mcp.run(transport="sse", host="0.0.0.0", port=8000)

Using context in tools

from fastmcp import FastMCP, Context

mcp = FastMCP("MyServer")

@mcp.tool
def process_data(uri: str, ctx: Context) -> str:
    """Process data with logging and progress"""
    ctx.info(f"Processing {uri}")
    ctx.report_progress(0, 100)
    data = ctx.read_resource(uri)
    ctx.report_progress(100, 100)
    return f"Processed: {data}"

Authentication setup

from fastmcp import FastMCP
from fastmcp.server.auth import BearerAuthProvider

auth = BearerAuthProvider(
    jwks_uri="https://your-provider/.well-known/jwks.json",
    audience="your-api",
    issuer="https://your-provider/"
)

mcp = FastMCP("SecureServer", auth=auth)

Key concepts

Tools

Functions exposed as executable capabilities for LLMs. Decorated with @mcp.tool. Support Pydantic validation, async, custom return types, and annotations (readOnlyHint, destructiveHint).

Resources & Templates

Static or dynamic data sources identified by URIs. Resources use fixed URIs (data://config), templates use parameterized URIs (users://{id}/profile). Support MIME types, annotations, and wildcard parameters.

Context

The Context object provides access to MCP features within tools/resources: logging, progress reporting, resource access, LLM sampling, user elicitation, and session state.

Dependency Injection

Inject values into tool/resource functions using Depends(). Supports HTTP requests, access tokens, custom dependencies, and generator-based cleanup patterns.

Providers

Control where components come from. LocalProvider (default, decorator-based), FileSystemProvider (load from Python files on disk), SkillsProvider (packaged bundles), or custom providers.

Authentication & Authorization

Multiple auth patterns: token verification (JWT, JWKS), OAuth proxy, OIDC proxy, remote OAuth, and full OAuth server. Authorization via scopes on components and middleware.

Middleware

Intercept and modify requests/responses. Built-in middleware for rate limiting, error handling, logging, and response size limits. Custom middleware via @mcp.middleware.

Using the references

Detailed documentation is organized in the references/ folder:

Getting Started

  • getting-started/installation.md - Install FastMCP, optional dependencies, verify setup
  • getting-started/upgrade-guide.md - Migrate from FastMCP 2.x to 3.0
  • getting-started/quickstart.md - First server, tools, resources, prompts, running

Server

  • server/server-class.md - FastMCP server configuration, transport options, tag filtering
  • server/tools.md - Tool decorator, parameters, validation, return types, annotations
  • server/resources-and-templates.md - Resources, templates, URIs, wildcards, MIME types

Context

  • context/mcp-context.md - Context object, logging, progress, resource access, sampling
  • context/background-tasks.md - Long-running operations with task support
  • context/dependency-injection.md - Depends(), custom deps, HTTP request, access tokens
  • context/user-elicitation.md - Request structured input from users during execution

Features

  • features/icons.md - Custom icons for tools, resources, prompts, and servers
  • features/lifespans.md - Server lifecycle management and startup/shutdown hooks
  • features/client-logging.md - Send log messages to MCP clients
  • features/middleware.md - Request/response pipeline, built-in and custom middleware
  • features/pagination.md - Paginate large component lists
  • features/progress-reporting.md - Report progress for long-running operations
  • features/sampling.md - Request LLM completions from the client
  • features/storage-backends.md - Memory, file, and Redis storage for caching and tokens
  • features/opentelemetry.md - Distributed tracing and observability
  • features/versioning.md - Version components and filter by version ranges

Authentication

  • authentication/token-verification.md - JWT, JWKS, introspection, static keys, custom
  • authentication/remote-oauth.md - Delegate auth to upstream OAuth provider
  • authentication/oauth-proxy.md - Full OAuth proxy with PKCE, client management
  • authentication/oidc-proxy.md - OpenID Connect proxy with auto-discovery
  • authentication/full-oauth-server.md - Complete built-in OAuth server

Authorization

  • authorization.md - Scope-based access control, middleware authorization, patterns

Providers

  • providers/local.md - Default provider, decorator-based component registration
  • providers/filesystem.md - Load components from Python files on disk
  • providers/skills.md - Package and distribute component bundles
  • providers/custom.md - Build custom providers for any component source

Version history

v1.0.0 (February 2026)

  • Initial release covering FastMCP 3.0 (release candidate)
  • 30 reference files across 7 categories
  • Complete coverage of tools, resources, context, auth, providers, and features

平台分布

Codex

35.61%
按下载量换算271

Claude

29.54%
按下载量换算225

Cursor

17.32%
按下载量换算132

Gemini CLI

8.41%
按下载量换算64

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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