Prometheus FAQs

Question 1

What is Prometheus MCP Server?

Accepted Answer

Prometheus MCP Server is a bridge that allows Claude AI to interact with your Prometheus metrics and data through the Model Context Protocol (MCP). It enables you to query, analyze, and monitor your systems using natural language within Claude.

Question 2

What are the key features of Prometheus MCP Server?

Accepted Answer

Key features include executing PromQL queries (instant and range), discovering series by label matchers, accessing metadata for metrics, retrieving information about scrape targets, alerts, and recording rules, and getting the Prometheus server status.

Question 3

What functions are available in Prometheus MCP Server?

Accepted Answer

The server provides functions like `mcp__instant_query`, `mcp__range_query`, `mcp__get_series`, `mcp__get_label_values`, `mcp__get_metadata`, `mcp__get_targets`, `mcp__get_alerts`, `mcp__get_rules`, and `mcp__get_status` to facilitate different interactions with Prometheus data.

Question 4

How does Prometheus MCP Server work?

Accepted Answer

It acts as a server implementing a Prometheus API interface, translating Claude's requests (via MCP) into PromQL queries, fetching the data from your Prometheus instance, and providing the results back to Claude.

Question 5

How do I install and configure Prometheus MCP Server?

Accepted Answer

You can install it globally or locally using npm, or run it with npx. Configuration involves updating Claude's configuration file (`claude_desktop_config.json`) with the server command and setting the `PROMETHEUS_HOST` environment variable to point to your Prometheus instance.

Prometheus

소개

주요 기능

사용 사례