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pihole-mcp-server

A Model Context Protocol (MCP) server for Pi-hole

Install / Use

claude mcp add sbarbett -- npx -y github:sbarbett/pihole-mcp-server

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
šŸ”Œ

MCP Server

Model Context Protocol server

Quality Score

63/100

Category

Operations

Supported Platforms

Claude Code
Claude Desktop

Our assessment of pihole-mcp-server

pihole-mcp-server scores 63/100 on our quality scale, 698th of 746 Operations skills we index.

Its MCP Server is 5.4 KB long, well organised into 24 sections with 9 code examples: a solid amount of guidance for an agent.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
26/30
Structure
20/20
Description
8/15
Adoption
4/20
Freshness
5/15

Maintenance, license and trust

  • The repository was last updated about 15 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

pihole-mcp-server compared with similar skills

All 4 of these similar skills score higher than pihole-mcp-server; compare them before choosing.

SkillScoreStarsUpdatedFormat
pihole-mcp-server (this skill)by sbarbett631015mo agoMCP Server
Agent-Reachby Panniantong10094.8k1d agoCLAUDE.md
headroomby headroomlabs-ai10074.8ktodayCLAUDE.md
CowAgentby zhayujie10047.3ktodayCLAUDE.md
Scraplingby D4Vinci10086.5k1d agoMCP Server

Frequently asked questions

How do I install pihole-mcp-server?
Run claude mcp add sbarbett -- npx -y github:sbarbett/pihole-mcp-server. The install tabs above show the steps for each supported agent.
Which AI agents does pihole-mcp-server work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is pihole-mcp-server safe to use?
It is MIT-licensed and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is pihole-mcp-server still maintained?
The repository was last updated about 15 months ago. Expect some instructions to reference tool versions or APIs that have since changed.

šŸ“ pihole-mcp-serer

A Model Context Protocol (MCP) server for Pi-hole. This server exposes Pi-hole functionality as tools that can be used by AI assistants.

Dependencies

Docker

uv (Optional, for Development)

If you want to run the application locally, use uv. Install it with your package manager of choice.

Environment

Create a .env file in the project root with your Pi-hole credentials:

# Primary Pi-hole (required)
PIHOLE_URL=https://your-pihole.local/
PIHOLE_PASSWORD=your-admin-password
#PIHOLE_NAME=Primary        # optional, defaults to URL if unset

# Secondary Pi-hole (optional)
#PIHOLE2_URL=https://secondary-pihole.local/
#PIHOLE2_PASSWORD=password2
#PIHOLE2_NAME=Secondary     # optional

# Up to 4 Pi-holes:
#PIHOLE3_URL=...
#PIHOLE3_PASSWORD=...
#PIHOLE3_NAME=...

#PIHOLE4_URL=...
#PIHOLE4_PASSWORD=...
#PIHOLE4_NAME=...

Project Structure

The project follows a modular organization for better maintainability:

/
ā”œā”€ā”€ main.py                # Main application entry point
ā”œā”€ā”€ tools/                 # Pi-hole tools organized by functionality
│   ā”œā”€ā”€ __init__.py
│   ā”œā”€ā”€ config.py          # Configuration-related tools (DNS settings)
│   └── metrics.py         # Metrics and query-related tools
ā”œā”€ā”€ resources/             # MCP resources
│   ā”œā”€ā”€ __init__.py
│   └── common.py          # Common resources (piholes://, version://)
ā”œā”€ā”€ docker-compose.yml     # Docker Compose configuration for production
ā”œā”€ā”€ docker-compose.dev.yml # Docker Compose for development with volume mounts
└── Dockerfile             # Docker build configuration

This structure separates the code into logical components while maintaining compatibility with all run modes.

Running the Server

There are several ways to run the Pi-hole MCP server:

Using Docker (Recommended for Production)

# Standard deployment
docker-compose up -d

The server will be available at http://localhost:8383

Development Mode with Docker

For development, use the dev compose file which builds locally:

docker-compose -f docker-compose.dev.yml up

MCP Inspector

You can run the MCP inspector using uv and the mcp CLI:

uv run mcp dev main.py

This will start an interactive interface at http://localhost:6274 where you can test tools and resources.

API

This MCP server exposes the following resources and tools:

Resources

  • piholes://: Returns information about all configured Pi-holes
  • version://: Returns the MCP server version
  • list-tools://: Returns a list of tool categories
    • list-tools://{category}: Returns a list of tools within a specific category

Tools

Each tool call returns results as a list of dictionaries with the following structure:

[
  {
    "pihole": "Pi-hole Name",
    "data": [...]  # Result data from this Pi-hole
  },
  ...
]

Configuration

  • list_local_dns: Lists all local DNS settings from Pi-hole(s)
  • add_local_a_record: Adds a local A record to Pi-hole(s).
  • add_local_cname_record: Adds a local CNAME record to Pi-hole(s).
  • remove_local_a_record: Removes all A records for a hostname.
  • remove_local_cname_record: Removes all CNAME records for a hostname.

Metrics

  • list_queries: Fetches the recent DNS query history from Pi-hole(s)
  • list_query_suggestions: Get query filter suggestions
  • list_query_history: Get activity graph data for queries over time

Testing in goose

Goose is a CLI LLM client that's useful for testing and development. Follow their install instructions here.

The following assumes you've completed the initial setup with goose configure.

Configure Extension

  1. Type goose configure to open the configuration menu.
  2. Select Add Extension
  3. Select Remote Extension
  4. It will ask for a name. It doesn't matter what you name it. I called mine pihole-mcp.
  5. When it asks "What is the SSE endpoint URI?" enter http://localhost:8383/sse.
  6. Enter a timeout.
  7. Add a description if you'd like.
  8. Select No when it asks about environment variables. Screenshot of configuration

Start a Session

Once the server is installed, start a chat session.

goose session

Try asking it: "What are my local DNS records?"

Screenshot of local DNS tool

...or telling it: "Show me my recent DNS queries."

Screenshot of queries

Claude Desktop

Claude's desktop client currently only support's the STDIO protocol, however you can use a proxy to communicate with the SSE endpoint.

Add the following to your claude_desktop_config.json file.

{
  "mcpServers": {
    "pihole": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:8383/sse"
      ]
    }
  }
}

If you're connecting to a different host on your local network and using an unsecured connection, you'll need to explicitly allow it with the --allow-http argument. For example:

{
  "mcpServers": {
    "pihole": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://192.168.1.255:8383/sse",
        "--allow-http"
      ]
    }
  }
}

Afterwards, completely restart the application and try it out.

Claude DNS info

Claude query info

License

MIT

Related Skills

View on GitHub
GitHub Stars10
CategoryOperations
Updated1y ago
Forks10

Languages

Python

Trust signals

80/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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pihole-mcp-server — MCP Server: Install & Safety Check | SkillAgent