Pi-hole MCP Server

Pi-hole MCP Server

Enables control of Pi-hole v6 ad blocking, allowing users to toggle DNS blocking status and retrieve real-time statistics like query counts and blocked domains. It provides a structured interface for monitoring and managing network-level ad filtering through the Pi-hole REST API.

Category
Visit Server

README

Pi-hole MCP Server

WARNING!!: Currently works only when this MCP server and AI client are on the same machine. Need to figure out why it doesn't approve request from other machines in local network.

An MCP (Model Context Protocol) server for controlling Pi-hole ad blocking.

Note: This server is configured for Pi-hole v6 with REST API authentication using app passwords.

Configuration

The server uses a config.json file for configuration. Create this file in the project root:

{
  "server": {
    "mode": "stdio",
    "port": 5000
  },
  "pihole": {
    "base_url": "http://192.168.68.59:8081/api"
  }
}

Configuration Options

  • server.mode: Server mode - "stdio" (default) or "port"
  • server.port: Port number when using port mode (default: 5000)
  • pihole.base_url: Pi-hole API base URL (default: "http://192.168.68.59:8081/api")

Setup

  1. Ensure your Pi-hole has an app password configured (Settings > API > App Password)
  2. Set the environment variable with your app password:
    export PIHOLE_APP_PASSWORD=your_app_password_here
    
  3. Configure the server mode in config.json

Running

Stdio Mode (Default)

Run the server in stdio mode (for MCP clients):

python main.py

Port Mode

Set "mode": "port" in config.json and run:

python main.py

The server will start on the configured port (default: 5000) using Server-Sent Events (SSE).

Or use the VS Code task: Ctrl+Shift+P > Tasks: Run Task > Run Python Script

Running with Docker

Prerequisites

  • Docker and Docker Compose installed
  • Pi-hole app password configured

Setup

  1. Ensure your config.json is configured for your environment
  2. Set the Pi-hole app password as an environment variable:
    export PIHOLE_APP_PASSWORD=your_app_password_here
    

Running

# Build and start the container
docker-compose up --build

# Or run in background
docker-compose up -d --build

Configuration

The container uses the config.json file mounted as a volume. You can modify the configuration file and restart the container:

docker-compose restart

Logs

# View logs
docker-compose logs -f

# View logs for specific service
docker-compose logs -f pihole-mcp

Cleanup

# Stop and remove containers
docker-compose down

# Remove containers and volumes
docker-compose down -v

# Remove images
docker-compose down --rmi all

Tools

  • get_pihole_status: Get current Pi-hole blocking status (enabled/disabled)
  • get_pihole_summary: Get Pi-hole statistics summary (queries, blocked domains, etc.)
  • enable_pihole: Enable ad blocking permanently
  • disable_pihole: Disable ad blocking (optional duration in seconds)

API Details

This implementation uses Pi-hole v6 REST API with session-based authentication:

  • Authentication: POST to /api/auth with app password
  • Status: GET /api/dns/blocking
  • Summary: GET /api/stats/summary
  • Control: POST to /api/dns/blocking with JSON payload

Testing

Run unit tests (mocked):

python -m pytest test_main.py::TestPiHoleMCP -v

Run configuration tests:

python -m pytest test_main.py::TestConfiguration -v

Run integration tests (requires PIHOLE_APP_PASSWORD and will actually control Pi-hole):

export PIHOLE_APP_PASSWORD=your_app_password
python -m pytest test_main.py::TestPiHoleIntegration -v -s

Warning: Integration tests will enable/disable Pi-hole blocking. Use with caution!

Debugging

Open main.py, press F5 or use the Run and Debug panel.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured