#74 · Primary category: AI DevOps & SRE Tools
prometheus-mcp-server
A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.
Project last updated:08/05/26
GitHub Stars
513
Forks
99
Contributors
20
License
MIT
Why we included this project
Prometheus gathers plenty of signal, but getting an AI assistant to actually read that signal usually means building custom glue for each client. This project removes that step with a Model Context Protocol server that understands PromQL, so any compatible client, whether Claude Desktop, Cursor, or VS Code, can run instant and range queries against your Prometheus endpoint and receive the data back in a standard format. That makes natural-language requests genuinely useful for monitoring: ask an agent whether error rates on a specific service have spiked or how current CPU usage compares with the past hour, and it answers with numbers rather than a guess. It is also easy to bring up in a container, with a Docker image for quick starts and a Helm chart for cluster installs. For teams that want LLM tooling to take part in incident triage without writing MCP integrations by hand, this is a pragmatic fit.
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