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
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"CaesarYangs_prometheus_mcp_server": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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