Prometheus
Enables Large Language Models (LLMs) to query, analyze, and interact with Prometheus databases through predefined routes.
About
This Model Context Protocol (MCP) server provides Large Language Models (LLMs) with the ability to retrieve and analyze metric data from Prometheus databases. It allows LLMs to invoke tool functions that retrieve specific metrics, perform statistical analysis, search metric usage patterns, and execute complex PromQL queries. This server offers enhanced control over how LLMs interact with and utilize vast amounts of metric data stored in Prometheus.
Key Features
- Fetches and analyzes specific metric data using metric names
- Executes advanced PromQL queries for in-depth data exploration
- Retrieves comprehensive metric information, including names and descriptions, from Prometheus
- Analyzes metric data within custom time ranges
Use Cases
- Automating metric analysis and reporting through LLM interactions
- Integrating Prometheus data into LLM-powered analysis workflows
- Enabling LLMs to proactively identify and diagnose issues based on Prometheus metrics
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