Can I run a PromQL query to get the current value of a metric?

Yes. Use the `query` tool to evaluate any PromQL expression at a single point in time. This is perfect for checking current CPU usage, memory levels, or error rates.

How do I see how a metric has changed over the last hour?

Use the `query_range` tool. You can specify the `start` and `end` timestamps along with a `step` duration to retrieve historical data points for graphing or trend analysis.

Can I perform administrative tasks like creating backups?

Yes, if your Prometheus server has the Admin API enabled (`--web.enable-admin-api`), you can use the `create_snapshot` tool to create a snapshot of all current data on disk.

Prometheus MCP Connector for Claude

Monitor your infrastructure with Prometheus — run PromQL queries, analyze metrics, and manage time-series data directly from your AI agent.

14 tools Official Updated Jun 28, 2026 Official Vinkius Partner

More Details Connect to Claude

Connect your Prometheus instance to any AI agent and transform your observability data into actionable insights through natural conversation.

What you can do

Instant & Range Queries — Evaluate complex PromQL expressions for real-time status or historical trends over specific time windows.
Metric Discovery — Find time series matching specific label selectors and explore available labels and their values across your environment.
Metadata Inspection — Retrieve detailed metadata about metrics scraped from targets to understand units, types, and help text.
Admin Operations — Create data snapshots, delete specific series, and clean tombstones (requires admin API enabled).
System Status — Inspect your Prometheus configuration, flags, and runtime information to ensure your monitoring stack is healthy.

How it works

Subscribe to this server
Enter your Prometheus Server URL (and optional Auth Token)
Start querying your metrics from Claude, Cursor, or any MCP-compatible client

No more manual dashboard building just to answer a quick question about system health. Your AI acts as a dedicated SRE or DevOps engineer.

Who is this for?

SRE & DevOps Engineers — instantly troubleshoot incidents by querying metrics and checking configurations without leaving the terminal or chat.
Backend Developers — verify service performance and resource consumption directly from the code editor.
Platform Teams — automate infrastructure health reports and audit monitoring configurations via natural language.

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