fastmcp-enterprise
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@fastmcp-enterprisesearch resumes for MCP developers with 5+ years experience"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Enterprise MCP Server Template
基于 FastMCP 4.x 构建的企业级 MCP Server 脚手架:开箱即用的鉴权、限流、数据脱敏、审计日志与会话隔离,可直接部署到 Kubernetes。 An enterprise-grade Model Context Protocol server scaffold built on FastMCP: auth, rate limiting, desensitization, audit logging and session isolation out of the box, K8s-ready.
为什么需要这个模板?
把 MCP Server 从「本地 Demo」推向「生产环境」,需要解决一堆协议之外的企业级问题:
关注点 | 本地 Demo | 生产环境要求 |
谁能调用 | 随便 | Token 鉴权 / 多租户隔离 |
调用多快 | 无限制 | 限流,防滥用 |
数据泄露 | 不关心 | 手机号/身份证/邮箱脱敏 |
出了问题 | 无人知晓 | 审计日志:谁在何时调了什么 |
怎么部署 | 本地跑 | Docker / K8s / CI |
这个模板把这些横切能力全部内置,你只需要关注业务 Tools。
Related MCP server: mcp-server-toolkit
特性 Features
🔐 企业级鉴权:Bearer Token AuthProvider(可扩展 JWT / OAuth2 / mTLS)
🛡 数据脱敏:手机号、身份证、邮箱等 PII 自动脱敏(字段级 + 正则级)
⏱ 限流:滑动窗口限流器,按客户端维度(可替换 Redis 多实例共享)
📋 审计日志:记录每次工具调用的调用方 / 时间 / 入参 / 出参
🧩 会话隔离:多租户数据隔离,不同 client 只见自己的数据
📦 开箱即用:自带简历检索、人才画像示例业务工具
🚀 部署就绪:Dockerfile / docker-compose / K8s Deployment / GitHub Actions CI
🧪 测试完备:单元 + 集成测试(13 个用例),可直接跑 CI
快速开始 Quick Start
1. 安装
git clone git@github.com:IYABAO/fastmcp-enterprise.git
cd fastmcp-enterprise
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e ".[test]"2. 配置
cp .env.example .env
# 按需修改 token、限流阈值等3. 启动(HTTP 模式)
python -m enterprise_mcp.server
# 默认 http://0.0.0.0:8080/mcp4. 用 MCP 客户端连接
from fastmcp import Client
async with Client("http://localhost:8080/mcp", auth="你的-token") as client:
tools = await client.list_tools() # 列出工具
result = await client.call_tool("resume_search", {"query": {"keyword": "MCP", "min_years": 5}})无 token 或 token 错误会被 401 拒绝。
5. 本地调试(STDIO 模式)
配合 Claude Code / Cursor 本地调用:
python -m enterprise_mcp.server --stdio项目结构 Structure
fastmcp-enterprise/
├── src/enterprise_mcp/
│ ├── server.py # 入口:组装全部能力
│ ├── config/settings.py # 配置管理(env / .env)
│ ├── auth/
│ │ ├── authenticator.py # Token 校验 + 会话注册表
│ │ └── provider.py # FastMCP AuthProvider 实现
│ ├── middleware/
│ │ ├── middleware.py # 审计 / 脱敏 / 会话隔离 / 限流中间件
│ │ ├── desensitize.py # PII 脱敏引擎
│ │ ├── audit.py # 审计日志器
│ │ └── rate_limiter.py # 滑动窗口限流器
│ └── tools/
│ └── demo_tools.py # 示例业务工具(简历检索等)
├── deploy/
│ ├── docker/ # Dockerfile + docker-compose
│ └── k8s/ # K8s Deployment + Service + Ingress
├── tests/ # 单元 + 集成测试
├── examples/ # 客户端示例
└── .github/workflows/ci.yml # GitHub Actions配置项 Configuration
环境变量 | 默认值 | 说明 |
|
| 是否启用 Token 鉴权 |
|
| 允许的 Token 列表(逗号分隔) |
|
| 是否启用限流 |
|
| 每客户端每分钟最大请求数 |
|
| 是否启用响应脱敏 |
|
| 需要脱敏的字段名 |
|
| 是否启用审计日志 |
|
| 审计输出: |
|
| 是否启用 Redis(跨实例限流/会话) |
|
| HTTP 监听地址 |
部署 Deployment
Docker Compose
cd deploy/docker
docker compose up -d --buildKubernetes
kubectl apply -f deploy/k8s/deployment.yaml
# 生产环境建议:
# 1. Token 通过 Secret 注入(见 deployment.yaml 注释)
# 2. Redis 开启后支持多副本共享限流
# 3. 接入 Ingress + mTLS如何扩展你的业务 Tools
在 src/enterprise_mcp/tools/ 下新建模块,注册即可:
# src/enterprise_mcp/tools/my_tools.py
from pydantic import BaseModel, Field
from fastmcp import FastMCP
def register_tools(mcp: FastMCP) -> None:
@mcp.tool()
async def your_tool(query: YourQuery) -> dict:
"""你的工具描述(LLM 会看到)。"""
return {"result": "..."}然后在 server.py 中调用 register_tools(mcp)。
测试 Tests
pytest tests/ -v
# 13 passedRoadmap
Redis 多实例限流 / 会话共享实现
JWT / OAuth2 鉴权 Provider 示例
Prometheus 指标暴露
OpenTelemetry 链路追踪
License
MIT
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