What runtime environment is required?
The server runs inside a Python virtual environment (venv). All packages in `requirements.txt` must be installed into that venv.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"CaesarYangs_prometheus_mcp_server": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}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。
MCP Server for Prometheus is a Model Context Protocol server that lets Large Language Models retrieve and analyze metric data from Prometheus databases. It provides pre‑defined tool functions for fetching metrics, performing analysis, searching usage patterns, and executing complex PromQL queries.
Create a Python virtual environment, install the required packages from requirements.txt, and set the PROMETHEUS_HOST environment variable (default http://localhost:9090). You can then run server.py either as a standalone server (using uv or python3) or configure it in Claude Desktop by adding the server entry to claude_desktop_config.json.
The server runs inside a Python virtual environment (venv). All packages in `requirements.txt` must be installed into that venv.
Add an entry to your Claude Desktop configuration file (e.g., `~/Library/Application Support/Claude/claude_desktop_config.json` on macOS) with the command `uv`, the path to the server directory, and the `PROMETHEUS_HOST` environment variable.
Use either `uv --directory /path/to/prometheus_mcp_server run server.py` or `python3 server.py` from the project directory.
The `PROMETHE

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