The Prometheus MCP server allows LLMs to query and analyze time-series data from Prometheus databases. It exposes routes for querying metrics, setting up alerts, and visualizing data. It connects directly to Prometheus APIs and can be used by developers building monitoring tools or integrating observability features into applications.
The Prometheus MCP server allows LLMs to query and analyze time-series data from Prometheus databases. It exposes routes for querying metrics, setting up alerts, and visualizing data. It connects directly to Prometheus APIs and can be used by developers building monitoring tools or integrating observability features into applications.
pip install prometheus_mcp_serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"caesaryangs-prometheusmcpserver-github": {
"command": "uvx",
"args": [
"pip install prometheus_mcp_server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from prometheus_mcp_server?"
No configuration required. This server works out of the box.
"What resources are available in prometheus_mcp_server?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in prometheus_mcp_server"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in prometheus_mcp_server with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.