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alertmanager mcp server

A Model Context Protocol (MCP) server that enables AI assistants to integreate with Prometheus Alertmanager

Repository Info

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Python
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Apache License 2.0
License

About This Server

A Model Context Protocol (MCP) server that enables AI assistants to integreate with Prometheus Alertmanager

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Prometheus Alertmanager MCP

GitHub license GitHub stars

Table of Contents

  • Table of Contents
    1. Introduction
    1. Features
    1. Quickstart
    • 3.1. Prerequisites
    • 3.2. Installing via Smithery
    • 3.3. Local Run
    • 3.4. Docker Run
    1. Tools
    1. Development
    1. License

1. Introduction

Prometheus Alertmanager MCP is a Model Context Protocol (MCP) server for Prometheus Alertmanager. It enables AI assistants and tools to query and manage Alertmanager resources programmatically and securely.

2. Features

  • Query Alertmanager status, alerts, silences, receivers, and alert groups
  • Create, update, and delete silences
  • Create new alerts
  • Authentication support (Basic auth via environment variables)
  • Docker containerization support

3. Quickstart

3.1. Prerequisites

  • Python 3.12+
  • uv (for fast dependency management).
  • Docker (optional, for containerized deployment).
  • Ensure your Prometheus Alertmanager server is accessible from the environment where you'll run this MCP server.

3.2. Installing via Smithery

To install Prometheus Alertmanager MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @ntk148v/alertmanager-mcp-server --client claude

3.3. Local Run

  • Clone the repository:
# Clone the repository
$ git clone https://github.com/ntk148v/alertmanager-mcp-server.git
  • Configure the environment variables for your Prometheus server, either through a .env file or system environment variables:
# Set environment variables (see .env.sample)
ALERTMANAGER_URL=http://your-alertmanager:9093
ALERTMANAGER_USERNAME=your_username  # optional
ALERTMANAGER_PASSWORD=your_password  # optional
  • Add the server configuration to your client configuration file. For example, for Claude Desktop:
{
  "mcpServers": {
    "alertmanager": {
      "command": "uv",
      "args": [
        "--directory",
        "<full path to alertmanager-mcp-server directory>",
        "run",
        "src/alertmanager_mcp_server/server.py"
      ],
      "env": {
        "ALERTMANAGER_URL": "http://your-alertmanager:9093s",
        "ALERTMANAGER_USERNAME": "your_username",
        "ALERTMANAGER_PASSWORD": "your_password"
      }
    }
  }
}
  • Or install it using make command:
$ make install
  • Restart Claude Desktop to load new configuration.
  • You can now ask Claude to interact with Alertmanager using natual language:
    • "Show me current alerts"
    • "Filter alerts related to CPU issues"
    • "Get details for this alert"
    • "Create a silence for this alert for the next 2 hours"

3.4. Docker Run

  • Run it with pre-built image (or you can build it yourself):
$ docker run -e ALERTMANAGER_URL=http://your-alertmanager:9093 \
    -e ALERTMANAGER_USERNAME=your_username \
    -e ALERTMANAGER_PASSWORD=your_password \
    -p 8000:8000 ghcr.io/ntk148v/alertmanager-mcp-server
  • Running with Docker in Claude Desktop:
{
  "mcpServers": {
    "alertmanager": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e", "ALERTMANAGER_URL",
        "-e", "ALERTMANAGER_USERNAME",
        "-e", "ALERTMANAGER_PASSWORD",
        "ghcr.io/ntk148v/alertmanager-mcp-server:latest"
      ],
      "env": {
        "ALERTMANAGER_URL": "http://your-alertmanager:9093s",
        "ALERTMANAGER_USERNAME": "your_username",
        "ALERTMANAGER_PASSWORD": "your_password"
      }
    }
  }
}

This configuration passes the environment variables from Claude Desktop to the Docker container by using the -e flag with just the variable name, and providing the actual values in the env object.

4. Tools

The MCP server exposes tools for querying and managing Alertmanager, following its API v2:

  • Get status: get_status()
  • List alerts: get_alerts()
  • List silences: get_silences()
  • Create silence: post_silence(silence_dict)
  • Delete silence: delete_silence(silence_id)
  • List receivers: get_receivers()
  • List alert groups: get_alert_groups()

See src/alertmanager_mcp_server/server.py for full API details.

5. Development

Contributions are welcome! Please open an issue or submit a pull request if you have any suggestions or improvements.

This project uses uv to manage dependencies. Install uv following the instructions for your platform.

# Clone the repository
$ git clone https://github.com/ntk148v/alertmanager-mcp-server.git
$ cd alertmanager-mcp-server
$ make setup
# Run test
$ make test
# Run in development mode
$ mcp dev
$ TRANSPORT_MODE=sse mcp dev

# Install in Claude Desktop
$ make install

6. License

Apache 2.0


Made with ❤️ by @ntk148v

Quick Start

1

Clone the repository

git clone https://github.com/ntk148v/alertmanager-mcp-server
2

Install dependencies

cd alertmanager-mcp-server
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerntk148v
Repoalertmanager-mcp-server
LanguagePython
LicenseApache License 2.0
Last fetched8/10/2025

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