prometheus-mcp-server

How to use prometheus-mcp-server

uv venv
source .venv/bin/activate  # On Unix/macOS
.venv\Scripts\activate     # On Windows
uv pip install -e .

{
  "mcpServers": {
    "prometheus": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "PROMETHEUS_URL",
        "ghcr.io/pab1it0/prometheus-mcp-server:latest"
      ],
      "env": {
        "PROMETHEUS_URL": "<your-prometheus-url>"
      }
    }
  }
}

What is prometheus-mcp-server?

prometheus-mcp-server is a Python MCP server for Claude Desktop, Cursor, Windsurf with uvx/pip, docker. A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Key capabilities

• Tool access support
• Shell commands support
• Anthropic provider support
• pyproject.toml config support
• Dockerfile config support
• server.json config support
• Connecting agents to external tools and data

Technical details

Install or run prometheus-mcp-server using uvx/pip. Check pab1it0/prometheus-mcp-server for the latest setup command.

• Built for Python
• Built for Docker
• Install or run with uvx/pip
• Install or run with docker
• Works with Claude Desktop
• Works with Cursor
• Works with Windsurf
• Works with VS Code

Requirements and access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

When to use prometheus-mcp-server

• Use it for connecting agents to external tools and data.
• Use it for integrations workflows.
• Use it for coding workflows.
• Use it for data workflows.
• Use it for claude desktop users.

Built with

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Frequently asked questions