How do I use My-MCP-Intranet?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@My-MCP-Intranet Open the admin dashboard and take a screenshot" 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.

My-MCP-Intranet

by TsuiVincent

Overview Schema Related Servers Score Discussions

Python

Remote

My-MCP-Intranet - 内网 MCP 服务器集群

v2.0 — 11 个独立 MCP Server，可按需部署在不同 IP 的服务器上，实现功能隔离与故障域分离。

架构概览

                     ┌──────────────────────────────────────────────────────────────┐
                     │                         AI 客户端                              │
                     │  (CherryStudio / OpenCode / Dify / Cursor / Claude Desktop)    │
                     └──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──────────────────────────────┘
                        │  │  │  │  │  │  │  │  │  │  │
        ┌───────────────┼──┼──┼──┼──┼──┼──┼──┼──┼──┼──┼──────────────────────────────┐
        │               │  │  │  │  │  │  │  │  │  │  │                              │
        ▼               ▼  ▼  ▼  ▼  ▼  ▼  ▼  ▼  ▼  ▼  ▼                              ▼
┌──────────────┐ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ mcp-file-doc │ │mcp-markitdown│ │mcp-browser-  │ │mcp-sequential│ │mcp-data-     │ │mcp-datetime │
│   :19100      │ │   :19101      │ │playwright    │ │-thinking     │ │platform      │ │   :19105      │
│              │ │              │ │   :19102      │ │   :19103      │ │   :19104      │ │              │
│ 文件操作     │ │ Markitdown   │ │ 浏览器自动化  │ │ 结构化推理   │ │ 数据库查询   │ │ 时间日期     │
│ 远程传输     │ │ 格式转换     │ │ 页面截图     │ │ 分步深度思考 │ │ Python沙箱   │ │ 时区转换     │
│ 智能填表     │ │ Markdown渲染 │ │ 元素交互     │ │ 回溯修正     │ │ 数据可视化   │ │ Cron解析     │
│ Word高级操作 │ │              │ │ JS执行       │ │ 分支推理     │ │ 知识库检索   │ │              │
└──────────────┘ └──────────────┘ └──────────────┘ └──────────────┘ └──────────────┘ └──────────────┘
    26 tools        4 tools        14 tools         1 tool         21 tools         7 tools

┌──────────────┐ ┌─────────────────┐ ┌─────────────────┐ ┌──────────────┐ ┌──────────────┐
│ mcp-ops-     │ │ mcp-fetch-      │ │ ppt-master-mcp  │ │ mcp-spread-  │ │ mcp-drawio   │
│ monitor      │ │ intranet        │ │    :19108        │ │ sheet-pdf    │ │   :19110      │
│   :19106      │ │    :19107        │ │                 │ │    :19109     │ │   :19111      │
│              │ │                 │ │ AI PPT 生成     │ │              │ │              │
│ 系统监控     │ │ 内网抓取        │ │ AI 配图(16+)   │ │ Excel 操作   │ │ AI 图表生成  │
│ 日志分析     │ │ 网页正文提取    │ │ 模板(20+)      │ │ CSV 处理     │ │ Draw.io 编辑 │
│ 命令执行     │ │ 配置管理        │ │ SVG→PPTX       │ │ PDF 操作     │ │ 实时预览     │
│              │ │                 │ │ PPTX 增强       │ │              │ │              │
└──────────────┘ └─────────────────┘ └─────────────────┘ └──────────────┘ └──────────────┘
    13 tools        19 tools            15 tools            14 tools          6 tools

Related MCP server: Custom MCP Server

服务器总览

服务器	端口	工具数	核心功能	部署要求
mcp-file-doc	19100	26	文件 I/O、远程传输、智能填表、Word 高级操作	需 python-docx
mcp-markitdown	19101	4	Markitdown 格式转换、Markdown 渲染	需 markitdown
mcp-browser-playwright	19102	14	浏览器自动化、页面截图、元素交互、JS 执行	需 Chromium
mcp-sequential-thinking	19103	1	结构化多步推理、回溯修正、分支推理	无
mcp-data-platform	19104	21	数据库查询、Python沙箱、数据可视化、知识库检索	需数据库连接
mcp-datetime	19105	7	时间日期查询、时区转换、Cron解析	无
mcp-ops-monitor	19106	13	CPU/内存/磁盘监控、日志分析、命令执行	需部署在目标主机
mcp-fetch-intranet	19107	19	内网网页抓取、正文提取、递归爬取、配置管理	需内网可达
ppt-master-mcp	19108	15	AI PPT 生成与增强、20+模板、AI配图(16+后端)、PPTX导出	需 ppt-master v4.2.0
mcp-spreadsheet-pdf	19109	14	Excel/CSV/PDF 操作、统计图表、智能填表	需 PyMuPDF
mcp-drawio	19110	6	AI Draw.io 图表生成、实时预览、图库注入	需 Chromium

快速启动

先安装全量依赖

cd my-mcp-intranet
pip install -r requirements.txt

再分别启动各服务器

# 终端1 - 文件操作 + 文档智能（填表/Word高级操作）
cd mcp-file-doc && python server.py

# 终端2 - Markitdown 格式转换
cd mcp-markitdown && python server.py

# 终端3 - 浏览器自动化 (Playwright)
cd mcp-browser-playwright && playwright install chromium && python server.py

# 终端4 - Sequential Thinking
cd mcp-sequential-thinking && python server.py

# 终端5 - 数据查询与分析
cd mcp-data-platform && python server.py

# 终端6 - 时间日期服务
cd mcp-datetime && python server.py

# 终端7 - 运维与监控
cd mcp-ops-monitor && python server.py

# 终端8 - 内网抓取与API
cd mcp-fetch-intranet && python server.py

Docker Compose 一键部署

docker-compose up -d

启动单个服务：

docker-compose up -d mcp-browser-playwright
docker-compose up -d mcp-sequential-thinking

新增服务介绍

mcp-browser-playwright (:19102) - 浏览器自动化

基于 Playwright + Chromium，支持内网后台自动化操作。

工具	功能
`browser_navigate`	导航到 URL
`browser_snapshot`	获取页面无障碍结构快照
`browser_screenshot`	页面截图（Base64）
`browser_click` / `browser_type` / `browser_fill`	元素交互
`browser_select_option` / `browser_hover`	下拉框/悬停
`browser_press_key`	按键（Enter/Tab/Escape）
`browser_evaluate`	执行 JavaScript
`browser_get_page_text`	获取页面文本
`browser_go_back` / `browser_go_forward`	前后导航
`browser_close`	关闭页面

mcp-sequential-thinking (:19103) - 结构化推理

帮助 LLM 在复杂问题上分步深度思考，支持回溯修正和分支推理。

工具	功能
`sequential_thinking`	记录一步推理，支持修正、分支、会话保持

客户端配置

Cherry Studio / OpenCode / Cursor

{
  "mcpServers": {
    "mcp-file-doc":              { "type": "streamableHttp", "url": "http://127.0.0.1:19100/mcp" },
    "mcp-markitdown":             { "type": "streamableHttp", "url": "http://127.0.0.1:19101/mcp" },
    "mcp-browser-playwright":     { "type": "streamableHttp", "url": "http://127.0.0.1:19102/mcp" },
    "mcp-sequential-thinking":    { "type": "streamableHttp", "url": "http://127.0.0.1:19103/mcp" },
    "mcp-data-platform":          { "type": "streamableHttp", "url": "http://127.0.0.1:19104/mcp" },
    "mcp-datetime":               { "type": "streamableHttp", "url": "http://127.0.0.1:19105/mcp" },
    "mcp-ops-monitor":            { "type": "streamableHttp", "url": "http://127.0.0.1:19106/mcp" },
    "mcp-fetch-intranet":         { "type": "streamableHttp", "url": "http://127.0.0.1:19107/mcp" },
    "ppt-master-mcp":             { "type": "streamableHttp", "url": "http://127.0.0.1:19108/mcp" },
    "mcp-spreadsheet-pdf":        { "type": "streamableHttp", "url": "http://127.0.0.1:19109/mcp" },
    "mcp-drawio":                 { "type": "streamableHttp", "url": "http://127.0.0.1:19110/mcp" }
  }
}

Dify

服务器	协议	端点
mcp-file-doc	Streamable HTTP	`http://<IP>:19100/mcp`
mcp-markitdown	Streamable HTTP	`http://<IP>:19101/mcp`
mcp-browser-playwright	Streamable HTTP	`http://<IP>:19102/mcp`
mcp-sequential-thinking	Streamable HTTP	`http://<IP>:19103/mcp`
mcp-data-platform	Streamable HTTP	`http://<IP>:19104/mcp`
mcp-datetime	Streamable HTTP	`http://<IP>:19105/mcp`
mcp-ops-monitor	Streamable HTTP	`http://<IP>:19106/mcp`
mcp-fetch-intranet	Streamable HTTP	`http://<IP>:19107/mcp`
ppt-master-mcp	Streamable HTTP	`http://<IP>:19108/mcp`
mcp-spreadsheet-pdf	Streamable HTTP	`http://<IP>:19109/mcp`
mcp-drawio	Streamable HTTP	`http://<IP>:19110/mcp`

设计原则

功能内聚：每个服务器包含高内聚的工具集
故障隔离：一个服务器故障不影响其他服务器
依赖分离：重依赖（python-docx/markitdown/playwright/chromadb）的服务独立部署
安全分层：mcp-ops-monitor（命令执行）和 mcp-data-platform（Python沙箱）可部署在加固容器中
独立扩展：可对高频使用的服务器单独扩容

数据存储

服务器	存储方式	路径
mcp-file-doc	本地文件系统	`~/mcp-data/` (Windows) `/data/` (Linux)
mcp-markitdown	无持久化	—
mcp-browser-playwright	无持久化	—
mcp-sequential-thinking	内存（会话级）	—
mcp-data-platform	ChromaDB + SQLite	`~/mcp-user-data/` (Windows) `/data/mcp-user-data/` (Linux)
mcp-datetime	无持久化	—
mcp-ops-monitor	无持久化	—
mcp-fetch-intranet	SQLite	`~/mcp-user-data/config_manager.db` (Windows) `/data/mcp-user-data/config_manager.db` (Linux)
ppt-master-mcp	Docker Volume	`ppt_master_data:/app/workspaces`
mcp-spreadsheet-pdf	Docker Volume	`spreadsheet_pdf_data:/data`
mcp-drawio	Docker Volume	`drawio_data:/data`

许可证

Internal use.

This server cannot be installed

license - not found

quality - not tested

maintenance - not tested

How are these scores calculated?

Resources

GitHub Repository

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