What are the dependencies?
Docker is required for production deployment. For development, `uv` is optional to run the server locally.
@sbarbett
基本信息
A Model Context Protocol (MCP) server for Pi-hole
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"pihole-mcp-server": {
"command": "uv",
"args": [
"run",
"mcp",
"dev",
"main.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
The 🍓 pihole-mcp-serer is a Model Context Protocol (MCP) server that exposes Pi-hole functionality as tools for AI assistants. It allows AI tools to manage local DNS records, query DNS history, and retrieve metrics from one or multiple Pi-hole instances.
Create a .env file with PIHOLE_URL and PIHOLE_PASSWORD (and optionally up to three additional Pi-holes). Run the server via Docker (docker-compose up -d) for production or with uv run mcp dev main.py for development. Then configure an MCP client (e.g., Goose or Claude Desktop) to connect to the SSE endpoint at http://localhost:8383/sse.
Docker is required for production deployment. For development, `uv` is optional to run the server locally.
Add `PIHOLE2_URL`, `PIHOLE2_PASSWORD`, and optionally `PIHOLE2_NAME` in the `.env` file. Repeat for up to four Pi-holes.
Use `uv run mcp dev main.py` after installing `uv` and any required dependencies.
The server uses SSE (Server-Sent Events) on port 8383 by default. Clients like Goose connect directly; Claude Desktop uses a proxy (`mcp-remote`) to bridge STDIO to SSE.
Credentials are set via environment variables (`PIHOLE_URL`, `PIHOLE_PASSWORD`) in the `.env` file. No other authentication mechanism is documented.

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