prometheus_mcp_server
用于Prometheus数据检索和分析的MCP服务器. prometheus_mcp_server is a Model Context Protocol (MCP) server maintained by CaesarYangs. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 4 tools, including retrieve_metric_information, fetch_metric_data, analyze_metric_data and filter_metric_data, that an agent can call directly. It is categorized under Monitoring/Prometheus, AI/LLM and Tool/Server.
什么是MCP
这是一个模型上下文协议服务器，使LLM能够通过预定义路由与Prometheus数据库交互，检索和分析指标数据。
如何使用MCP
通过Smithery安装或手动设置Python环境后，使用uv或Python运行服务器。在Claude Desktop等客户端中配置，需指定服务器路径和Prometheus主机地址。
MCP的用途
获取指标、分析数据、搜索使用模式、执行复杂PromQL查询，使LLM能够处理Prometheus监控数据。
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the prometheus_mcp_server MCP server?
prometheus_mcp_server is a Model Context Protocol server from CaesarYangs. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect prometheus_mcp_server to my AI client?
Add prometheus_mcp_server to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does prometheus_mcp_server provide?
prometheus_mcp_server provides 4 tools: retrieve_metric_information, fetch_metric_data, analyze_metric_data and filter_metric_data.
Is prometheus_mcp_server free to use?
prometheus_mcp_server is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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