McpEye 智守
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., "@McpEye 智守检查算力服务器的CPU使用率"
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.
McpEye 智守
McpEye 智守 是一个面向 Linux 服务器巡检场景的 MCP 管理系统,提供网页后台、SSH 巡检能力和机器人可调用的 MCP 接口。
你可以在后台维护多台服务器,用自然语言名称区分业务主机,然后让机器人直接提问:
帮我看一下算力服务器的网络状态
帮我看一下算力服务器的处理器型号
帮我看一下算力服务器的硬盘使用率
执行一下 GPU 巡检命令
功能概览
登录后台管理服务器
支持 SSH 密码认证
支持 SSH 私钥和私钥口令
实时巡检 CPU、内存、磁盘、网络和系统信息
支持批量查看服务器延迟、在线状态、认证失败、磁盘告警等
支持独立管理巡检命令
支持按服务器和按标签分配巡检命令
支持 MCP 工具调用
支持日志查看请求和返回内容
支持后台配置小智接入地址和 Token
Related MCP server: mcp-ssh
技术栈
FastAPI
Jinja2
SQLite
Paramiko
FastMCP
快速启动
1. 安装依赖
pip install -e .2. 准备环境变量
复制 .env.example 到 .env,至少确认以下配置:
APP_HOST=127.0.0.1
APP_PORT=8765
ADMIN_USERNAME=admin
ADMIN_PASSWORD=admin123456
APP_SECRET=
XIAOZHI_BRIDGE_ENABLED=false
XIAOZHI_ENDPOINT_URL=
XIAOZHI_RECONNECT_DELAY_SECONDS=5说明:
APP_SECRET留空时,程序会自动生成本地密钥XIAOZHI_ENDPOINT_URL可以先留空,之后在后台设置
3. 启动服务
python -m uvicorn app.main:app --host 127.0.0.1 --port 8765启动后访问:
后台首页:
http://127.0.0.1:8765/服务器管理:
http://127.0.0.1:8765/servers巡检命令:
http://127.0.0.1:8765/commands请求日志:
http://127.0.0.1:8765/logs系统设置:
http://127.0.0.1:8765/settingsMCP 地址:
http://127.0.0.1:8765/mcp
Docker 部署
方式一:使用 Docker Compose
复制环境变量文件:
cp .env.example .env编辑
.env,至少修改管理员密码和密钥:
APP_HOST=0.0.0.0
APP_PORT=8765
ADMIN_USERNAME=admin
ADMIN_PASSWORD=请修改为强密码
APP_SECRET=请修改为随机长字符串
XIAOZHI_BRIDGE_ENABLED=false
XIAOZHI_ENDPOINT_URL=
XIAOZHI_RECONNECT_DELAY_SECONDS=5APP_SECRET 用于会话签名和凭据加密。生产环境建议固定填写,不要留空,否则更换容器或数据目录后可能无法解密已保存的服务器密码或密钥。
启动服务:
docker compose up -d --build查看状态和日志:
docker compose ps
docker compose logs -f启动后访问:
后台首页:
http://服务器IP:8765/MCP 地址:
http://服务器IP:8765/mcp
数据会保存在 Docker volume mcpeye_data 中,包括 SQLite 数据库和本地密钥文件。
方式二:使用 Docker 命令
docker build -t mcpeye-zhishou:latest .
docker run -d \
--name mcpeye-zhishou \
--restart unless-stopped \
--env-file .env \
-e APP_HOST=0.0.0.0 \
-e APP_PORT=8765 \
-p 8765:8765 \
-v mcpeye_data:/app/data \
mcpeye-zhishou:latest升级容器
git pull
docker compose up -d --build只要继续使用同一个 mcpeye_data volume,服务器配置、巡检命令、日志和历史数据会保留。
安全提醒
不要把
.env、data/、数据库文件或小智 Token 提交到 GitHub。生产环境务必修改
ADMIN_PASSWORD和APP_SECRET。如果小智 Token 曾经泄露,请先在小智侧重置 Token,再更新
.env或后台配置。
MCP 能力
当前提供的工具包括:
list_serversget_server_snapshotget_server_metricrun_server_custom_check
适合的提问方式包括:
查询某台服务器的完整巡检信息
单独查询 CPU、内存、磁盘、网络、处理器、主机名、系统信息
执行已保存的巡检命令
项目定位
McpEye 智守 适合以下场景:
运维巡检后台
算力服务器状态查看
机器人问答式服务器诊断
多台服务器的统一 SSH 巡检管理
开源信息
项目名称:McpEye 智守
项目主页:github.com/Call123X
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