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
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"CaesarYangs_prometheus_mcp_server": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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