Prometheus MCP Server

@moohoorama

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

moohoorama

关于 Prometheus MCP Server

暂无概览

#prometheus #mcp #server #data-access

Prometheus MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "prometheus-mcp-server-py-moohoorama": {
      "command": "pipx",
      "args": [
        "run",
        "--spec",
        "git+https://github.com/moohoorama/prometheus-mcp-server-py.git",
        "prometheus-mcp",
        "--url",
        "http://your-prometheus-server:9090"
      ]
    }
  }
}

Prometheus MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Prometheus MCP Server?

A tool that allows access to Prometheus data through a Model Context Protocol (MCP) server. It is intended for users who want to query Prometheus metrics via an MCP interface.

How to use Prometheus MCP Server?

Install with pipx install or run directly with pipx run without installation. Start the server with prometheus-mcp --url <your-prometheus-url> plus optional authentication flags.

Key features of Prometheus MCP Server

Access Prometheus data through MCP
Supports basic authentication (username/password)
Supports token-based authentication
Multi‑tenant support via organization ID

Use cases of Prometheus MCP Server

Query Prometheus metrics from an MCP‑compatible client
Integrate Prometheus data into AI‑powered workflows
Test Prometheus queries without a permanent installation

常见问题

What authentication methods are supported?

Basic authentication with username/password and token‑based authentication. These are optional.

Can I run the server without installing it?

Yes, use `pipx run --spec git+... prometheus-mcp --url ...` for one‑time or testing usage.

How do I connect to a multi‑tenant Prometheus setup?

Pass the `--org-id` argument to specify the organization ID.

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