Prometheus

The Prometheus MCP Server bridges the gap between AI assistants and Prometheus monitoring data by exposing a standardized Model Context Protocol interface. Instead of hard‑coding PromQL queries into prompts, developers can let an AI assistant discover metrics, fetch instant or range query results, and even execute arbitrary PromQL expressions through a conversational interface. This abstraction removes the need for manual API calls and allows AI tools to treat Prometheus as a first‑class data source, just like any other MCP server.

At its core the server offers four key capabilities: query execution, metric discovery, metadata retrieval, and authentication handling. A user can ask the assistant to “show me the current CPU usage for node‑1” and receive a live instant query result, or request “list all metrics that contain ‘http_’” and get a curated list with descriptions. Range queries are also supported, letting the assistant pull time‑series data over arbitrary intervals and step sizes—ideal for trend analysis or alert validation. The server’s authentication module accepts both Basic Auth and Bearer tokens via environment variables, ensuring secure access to private Prometheus instances.

Developers benefit from the server’s tool configurability: only the tools they need are exposed to the MCP client, keeping context windows lean and reducing unnecessary data transfer. The Docker‑first design means the server can be deployed locally, in CI pipelines, or on cloud hosts with minimal friction. Integration into popular IDEs (VS Code, Cursor, Windsurf) and desktop assistants (Claude Desktop) is seamless—just add a few lines to the client’s MCP configuration and start querying.

Real‑world scenarios that shine with this server include: automated anomaly detection where an AI assistant continuously polls key metrics; generating documentation or dashboards from natural language requests; and troubleshooting production incidents by letting the assistant pull historical metrics on demand. Because Prometheus is widely used for container orchestration, infrastructure monitoring, and application telemetry, the Prometheus MCP Server empowers AI assistants to become proactive observability partners without writing custom code.