The Prometheus MCP server allows AI agents to query and analyze time-series metrics from Prometheus monitoring systems. It exposes Prometheus's HTTP API v1 for querying metrics and supports PromQL for metric analysis. Developers use it to integrate Prometheus monitoring data into AI workflows, enabling automated metric analysis and alerting.
The Prometheus MCP server allows AI agents to query and analyze time-series metrics from Prometheus monitoring systems. It exposes Prometheus's HTTP API v1 for querying metrics and supports PromQL for metric analysis. Developers use it to integrate Prometheus monitoring data into AI workflows, enabling automated metric analysis and alerting.
pip install prometheus-mcp-serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"pab1it0-prometheus-mcp-server-github": {
"command": "uvx",
"args": [
"pip install prometheus-mcp-server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from prometheus?"
API Key Required
This server requires an API key from prometheus. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| PROMETHEUS_API_KEY | Yes | Your prometheus API key |
"What resources are available in prometheus?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in prometheus"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in prometheus with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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