This MCP server for Prometheus, developed by LogLM, provides a bridge between AI assistants and Prometheus metrics data. It offers a structured interface to access metric schemas, metadata, and current statistical information from Prometheus instances. The server supports basic authentication and exposes metrics through a RESTful API structure. By abstracting Prometheus query complexities, it enables AI systems to easily retrieve and analyze monitoring data. This implementation is particularly useful for DevOps teams, system administrators, and data analysts who want to incorporate Prometheus metrics into AI-driven workflows for tasks such as automated system health monitoring, performance analysis, and anomaly detection.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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Start the server with node to access it via any client or IDE.
node path/to/downloaded/file.mjs