MCP Alertmanager
M

MCP Alertmanager

This is an MCP server for Prometheus Alertmanager. It provides a native binary file written in Go, supports automatic Kubernetes connection, and includes 12 tools for alert management, silence operations, and troubleshooting.
2 points
3.7K

What is Alertmanager MCP Server?

This is an intelligent alert management assistant specifically designed to integrate with the Prometheus Alertmanager system. It allows you to access and manage alert information in Kubernetes or OpenShift clusters through simple conversations without memorizing complex command lines or API calls.

How to use Alertmanager MCP Server?

You only need to configure the server connection in a supported MCP client (such as VS Code, Cursor, etc.), and then you can ask questions in natural language to obtain alert information. For example, you can ask 'What are the current active alerts?' or 'Help me investigate the alert for high memory usage.'

Applicable scenarios

It is especially suitable for operations teams, SRE engineers, and developers for daily monitoring, troubleshooting, alert management, and system health checks. It is particularly useful when you need to quickly understand the cluster status, analyze the root cause of problems, or temporarily silence false alerts.

Main features

Intelligent alert query
Supports filtering and querying alerts by multiple conditions such as severity, namespace, and labels, and provides a grouped alert view.
Automatic Kubernetes connection
Automatically detects and connects to the Alertmanager service within the cluster without manual port forwarding configuration.
In - depth alert analysis
Provides tools for alert correlation analysis, historical record viewing, and root cause investigation to help quickly locate problems.
Silence rule management
Supports creating, viewing, and deleting alert silence rules, facilitating the temporary handling of maintenance windows or false alarms.
Multi - platform support
Provides npm packages, independent binary files, and container images, supporting multiple deployment methods.
OpenShift native integration
Optimized for the OpenShift environment, it connects to the openshift - monitoring namespace by default.
Advantages
No need to memorize complex commands: Manage alerts through natural language.
Zero - configuration connection: Automatically discover Alertmanager within the Kubernetes cluster.
Ready - to - use: Provides multiple installation methods for quick deployment.
Production - ready: Supports OpenShift and enterprise - level Kubernetes environments.
Secure and reliable: Uses standard kubeconfig and RBAC permissions.
Limitations
Only supports Prometheus Alertmanager: Incompatible with alerts from other monitoring systems.
Requires MCP client support: Must be used in an IDE or tool that supports the MCP protocol.
Network requirements: Needs to be able to access the Kubernetes API server.
Permission dependency: Requires appropriate Kubernetes RBAC permissions to access Alertmanager.

How to use

Install the MCP client
Ensure that you are using an IDE or tool that supports the MCP protocol, such as VS Code, Cursor, or Windsurf.
Configure the server connection
Add the Alertmanager server to the MCP client configuration. The simplest way is to use npx for automatic installation.
Start using
Restart your IDE or tool, and then you can ask questions through the chat interface.
Advanced configuration (optional)
If you need to connect to a specific Alertmanager instance, you can set environment variables or use a direct URL.

Usage examples

Daily monitoring check
Check the cluster health status every morning to quickly understand if there are any alerts that need attention.
Troubleshooting
When receiving an alert notification, quickly investigate the cause and scope of the problem.
Maintenance window management
Temporarily silence non - critical alerts during planned maintenance to avoid interference.
Root cause analysis
When multiple alerts are triggered simultaneously, find the root cause and correlation.

Frequently asked questions

Do I need to install Prometheus or Alertmanager?
Which Kubernetes distributions are supported?
How to ensure a secure connection?
Can it be used in a production environment?
What if Alertmanager is not in the default namespace?
Does it support multiple Alertmanager instances?

Related resources

GitHub repository
Source code, issue tracking, and the latest version.
Model Context Protocol official website
Understand the technical details and specifications of the MCP protocol.
Prometheus Alertmanager documentation
Official documentation and configuration guide for Alertmanager.
Container image
Pre - built container image supporting Kubernetes deployment.
Helm Chart
Helm chart for deployment in Kubernetes.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "alertmanager": {
      "command": "npx",
      "args": ["-y", "mcp-alertmanager@latest"],
      "env": {
        "ALERTMANAGER_URL": "http://localhost:9093"
      }
    }
  }
}

{
  "mcpServers": {
    "alertmanager": {
      "command": "npx",
      "args": ["-y", "mcp-alertmanager@latest"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.6K
4.5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
5.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.5K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.6K
5 points
R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
10.5K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.8K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
7.6K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
11.6K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.4K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.4K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.2K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.6K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.5K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
48.9K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase