Model Context Protocol (MCP) server for Pi-hole

0
0 Reviews
0 Stars
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
Model Context Protocol (MCP) server for Pi-hole

Model Context Protocol (MCP) server for Pi-hole

0 Reviews
0
0
Model Context Protocol (MCP) server for Pi-hole
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
Shane Barbetta
Featured

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

FAQs of Model Context Protocol (MCP) server for Pi-hole

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Os Automation

A server that executes AppleScript commands, providing full control over macOS automations remotely.
A Python-based MCP server enabling secure management and automation of OPNsense firewalls via API.
Securely run MCP servers without modifying configs by managing secrets safely through the launcher.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
A GUI tool for managing MCP servers across clients with seamless toggling and real-time monitoring features.
A cross-platform desktop app providing offline access, performance, and detailed metrics for MCP system interaction.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
A game client cheat with features like bypassing protections and modifying game behavior for Minecraft 1.16.5
A cross-platform package manager designed to manage all MCP servers efficiently and seamlessly.
A client-server MCP implemented in JavaScript for specific communication and data exchange tasks.

Monitoring

Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A simplified Prometheus MCP server for collecting and exposing metrics and monitoring data.
Enables advanced browser automation for viewport management, screenshot capture, and content extraction using TypeScript.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.
A server for sending notifications to self-hosted ntfy servers with secure token authentication support.
A Python SDK-based MCP supporting Elasticsearch 7 and 8 for search, mapping, health, and stats monitoring.
A comprehensive suite of containers for efficient microservices deployment and management.
A WebSocket-based real-time chat application with user authentication, message history, and health monitoring features.
A desktop app to manage omni-ai MCP servers, providing development tools and deployment functionalities.