What does the PiHole MCP Server do?
It provides a RESTful API that lets you manage and retrieve Pi-hole statistics using natural language queries, backed by a RAG system.
@NickJLange
基本信息
暂无概览
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": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}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 Server is a FastAPI-based RESTful service that enables natural-language query-based management and retrieval of statistics from Pi-hole devices using a Retrieval-Augmented Generation (RAG) system. It is designed for users who want to interact with their Pi-hole devices through natural language commands.
Clone the repository, set up a virtual environment, install dependencies from requirements.txt, and configure config.toml (with secrets in a .env file). Start the server with uvicorn main:app --host 0.0.0.0 --port 8000. Then send POST requests to the /query endpoint with an X-API-Key header and a JSON body containing the query.
config.toml/docs when runningIt provides a RESTful API that lets you manage and retrieve Pi-hole statistics using natural language queries, backed by a RAG system.
Clone the repo, create a Python virtual environment, run `pip install -r requirements.txt`, copy `config.toml.example` to `config.toml` and adjust settings, then execute `uvicorn main:app --host 0.0.0.0 --port 8000`.
Requests to the `/query` endpoint must include an `X-API-Key` header containing your API key. API keys are stored in a `.env` file.
Dependencies are listed in the `requirements.txt` file. External services used include Pi-hole and a Milvus database for the RAG system.
When the server is running, navigate to `/docs` in a browser to view the interactive OpenAPI documentation.

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
🚀 The fast, Pythonic way to build MCP servers and clients.
A curated list of references for MLOps
Free moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40
评论