A

Alertmanager MCP

This project implements an MCP protocol server, serving as a bridge between Claude AI and Prometheus Alertmanager. It provides functions such as alarm query and silence management, and supports interaction with the alarm system through natural language.
2.5 points
13

What is the Alertmanager MCP service?

This is a middleware service based on the Model Context Protocol (MCP), allowing Claude AI to interact with the Prometheus Alertmanager system through natural language. It implements standard interfaces for functions such as alarm viewing and silence management.

How to use this service?

Simply add the service configuration to the Claude desktop version configuration file. After restarting, you can manage the alarm system through natural language instructions. It supports global installation or temporary running via npx.

Applicable scenarios

Suitable for scenarios that require AI assistance in operation and maintenance monitoring, especially when you need to quickly query alarm status, create silence rules, or analyze alarm trends.

Main features

Alarm retrievalSupports conditional filtering to obtain currently active alarms, and can be filtered by multiple dimensions such as name and label.
Silence managementProvides full - lifecycle management functions for creating, querying, and deleting silence rules.
Alarm detailsObtain the complete detailed information of a single alarm through a unique fingerprint identifier.
Alarm groupingObtain the alarm set after native grouping by Alertmanager, maintaining a consistent view with the console.

Advantages and limitations

Advantages
Natural language interaction: No need to memorize complex command syntax
Standardized interface: Unifies the operation methods of different monitoring systems
Ready - to - use: Supports global npm installation and Docker containerized deployment
Limitations
Depends on the Alertmanager v2 API version
Requires the support of the Claude desktop version environment
Familiarity with PromQL syntax is required for complex conditional filtering

How to use

Environment preparation
Ensure that Node.js v18+ or a Docker environment is installed, and that you can access the Alertmanager instance.
Service installation
Choose one of the following installation methods: 1. Global npm installation 2. Directly run via npx 3. Docker container deployment
Claude configuration
Add the MCP server configuration to the Claude configuration file and specify the Alertmanager address.

Usage examples

Emergency fault handlingWhen receiving an alarm in the production environment, quickly view the relevant alarms and create a temporary silence.
Daily inspectionRegularly check the silence rules in the system and clean up expired entries.

Frequently Asked Questions

How to confirm that the service is correctly connected to Alertmanager?
What is the maximum duration of a silence rule?
Does it support multiple Alertmanager instances?

Related resources

Official documentation of the MCP protocol
Understand the core concepts and architecture of the Model Context Protocol
Alertmanager API reference
Official API documentation of Prometheus Alertmanager
GitHub repository
Project source code and issue tracking
Installation
Copy the following command to your Client for configuration
{
    "mcpServers": {
      "alertmanager": {
        "command": "docker",
        "args": [
          "run",
          "--rm",
          "-i",
          "--network=host",
          "-e", "ALERTMANAGER_URL=http://your-alertmanager-url:9093",
          "ghcr.io/kaznak/alertmanager-mcp:latest"
        ],
        "env": {}
      }
    }
  }
Note: Your key is sensitive information, do not share it with anyone.
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