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About
- Table of Contents
- 1. Introduction
- 2. Features
- 3. Quickstart
- 3.1. Prerequisites
- 3.2. Installing via Smithery
- 3.3. Local Run
- 3.4. Docker Run
- 4. Tools
- 5. Development
- 6. License
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.
- [x] Query Alertmanager status, alerts, silences, receivers, and alert groups
- [x] Smart pagination support to prevent LLM context window overflow when handling large numbers of alerts
- [x] Create, update, and delete silences
- [x] Create new alerts
- [x] Authentication support (Basic auth via environment variables)
- [x] Multi-tenant support (via
X-Scope-OrgIdheader for Mimir/Cortex) - [x] Docker containerization support
- 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.
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want Alertmanager again. Will you remember where to find it?
Save it to your library and the next time you need Alertmanager, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Alertmanager. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:wong2/awesome-mcp-servers
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