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PiHole MCP Server

@NickJLange

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

NickJLange

PiHole MCP Server について

概要はまだありません

#pihole#mcp#server#fastapi#nlp

PiHole MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "pihole_mcp_server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

PiHole MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is PiHole MCP Server?

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.

How to use PiHole MCP Server?

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.

Key features of PiHole MCP Server

  • RESTful API built with FastAPI for interacting with Pi-hole
  • Natural language query processing via a RAG system
  • Feature flags configurable in config.toml
  • API documentation available at /docs when running
  • Milvus database integration for retrieval-augmented generation

Use cases of PiHole MCP Server

  • Block internet access for a specified duration using natural language
  • Query Pi-hole statistics without manual API calls
  • Automate Pi-hole management tasks through a programmable interface

よくある質問

1

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.

2

How do I install and run the server?

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`.

3

How is authentication handled?

Requests to the `/query` endpoint must include an `X-API-Key` header containing your API key. API keys are stored in a `.env` file.

4

What are the dependencies required?

Dependencies are listed in the `requirements.txt` file. External services used include Pi-hole and a Milvus database for the RAG system.

5

Where can I find the full API documentation?

When the server is running, navigate to `/docs` in a browser to view the interactive OpenAPI documentation.

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