GRAFANA-MCP-ANALYZER

Created By
Sailinga year ago
让AI助手直接分析你的Grafana监控数据 - A Model Context Protocol server for Grafana data analysis
Overview

What is Grafana MCP Analyzer?

Grafana MCP Analyzer is an AI-powered tool that directly analyzes your Grafana monitoring data, providing intelligent operational analysis assistance.

How to use Grafana MCP Analyzer?

To use the Grafana MCP Analyzer, install it via npm, configure your AI assistant with the necessary settings, and then start querying your Grafana data using natural language.

Key features of Grafana MCP Analyzer?

  • Natural language queries for easy access to monitoring data.
  • Intelligent formatting for analyzing large datasets efficiently.
  • Support for curl commands to synthesize queries directly from the browser.
  • Aggregated analysis for comprehensive insights at both single query and dashboard levels.
  • Anomaly detection to proactively report performance issues.
  • Support for multiple data sources including Prometheus, MySQL, and Elasticsearch.
  • Professional DevOps recommendations for actionable insights.

Use cases of Grafana MCP Analyzer?

  1. Analyzing server performance metrics.
  2. Monitoring application health and performance trends.
  3. Providing insights for optimizing DevOps processes.

FAQ from Grafana MCP Analyzer?

  • Can Grafana MCP Analyzer connect to any Grafana instance?

Yes, as long as the correct API keys and URLs are provided.

  • Is there a specific Node.js version required?

Yes, Node.js version 18 or higher is required.

  • What should I do if I encounter connection issues?

Check the Grafana address format, verify API key validity, and test network connectivity.

Server Config

{
  "mcpServers": {
    "grafana": {
      "command": "npx grafana-mcp-analyzer",
      "env": {
        "CONFIG_PATH": "https://raw.githubusercontent.com/SailingCoder/grafana-mcp-analyzer/main-remote/config/grafana-config-play.js"
      }
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
Sailing
Star
-

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