This MCP server integrates Pi-hole with AI assistants by providing tools for DNS management, query monitoring, and configuration. It exposes Pi-hole features via a RESTful API, allowing programmatic control and data retrieval, making it suitable for automation and AI-driven tasks.
Added on:
Created by:
Apr 27 2025
...
Ads
What is Model Context Protocol (MCP) server for Pi-hole?
The Pi-hole MCP server enables integration of Pi-hole with AI assistants through a set of tools that facilitate DNS management, query monitoring, and system configuration. It exposes Pi-hole functionalities via an API, allowing users to list, add, or remove DNS records, fetch recent DNS queries, and manage local DNS settings. Designed for automation, it supports Docker deployment and can be accessed via web or CLI, making DNS control accessible to AI systems and developers for efficient network management.
Who will use Model Context Protocol (MCP) server for Pi-hole?
- Network administrators
- Developers
- IT automation specialists
- AI system integrators
- Pi-hole users
How to use the Model Context Protocol (MCP) server for Pi-hole?
- Step1: Install Docker and clone the repository
- Step2: Configure the environment variables with Pi-hole credentials
- Step3: Run the server using Docker Compose
- Step4: Access the API or tools to manage DNS and queries
- Step5: Use APIs or tools to automate DNS records and query monitoring
Model Context Protocol (MCP) server for Pi-hole's Core Features & Benefits
The Core Features
- List Pi-holes
- Manage local DNS records
- Retrieve DNS query logs
- Configure Pi-hole settings
- Monitor DNS activity
The Benefits
- Automates DNS management
- Enables AI integration with DNS control
- Provides comprehensive DNS query insights
- Supports scalable deployment via Docker
Model Context Protocol (MCP) server for Pi-hole's Main Use Cases & Applications
- Automated DNS record updates based on AI decisions
- Monitoring DNS queries for security alerts
- Managing multiple Pi-holes in large networks
- Integrating DNS management into DevOps workflows