mcp-infra
Enables AI assistants to identify processes listening on specific network ports by returning process names and PIDs. It provides infrastructure introspection capabilities through the Linux ss command to help users monitor and debug local services.
README
mcp-infra
An MCP (Model Context Protocol) server for infrastructure introspection — lets AI assistants query which processes are listening on specific ports on your machine.
What it does
Exposes a single tool to MCP clients (like Claude Desktop or Claude Code):
get_processes_by_ports — given a list of port numbers, returns the process name and PID for each listening socket.
// Example response for ports [8000, 3000]
{
"8000": [{ "name": "python", "pid": "12345" }],
"3000": [{ "name": "node", "pid": "67890" }]
}
This is useful when you want your AI assistant to understand what's running on your machine — e.g. "what's listening on port 5432?" or "check if my dev server is up."
Requirements
- Python 3.11+
- Linux (uses
ssfromiproute2) - uv (recommended) or pip
Installation
git clone https://github.com/your-username/mcp-infra
cd mcp-infra
uv sync
Or with pip:
pip install -e .
Usage
Run directly
uv run server.py
# or
python server.py
Add to Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"infra": {
"command": "uv",
"args": ["run", "/path/to/mcp-infra/server.py"]
}
}
}
Add to Claude Code
claude mcp add infra -- uv run /path/to/mcp-infra/server.py
Tool reference
get_processes_by_ports(ports: list[int]) -> str
Returns a JSON string mapping each port to a list of processes.
| Field | Type | Description |
|---|---|---|
ports |
list[int] |
Port numbers to query |
Response shape per port:
name— process namepid— process ID as stringraw— unparsed line (fallback if parsing fails)error— error message ifssfailed for that port
How it works
Uses the ss command (ss -tlnp sport = :<port>) to list TCP sockets in LISTEN state, then parses the users:((...)) field to extract process names and PIDs.
Contributing
Pull requests are welcome. Keep it focused — this is intentionally a small, single-purpose server.
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。