In complex monitoring systems, have you ever faced the following problems?
- Too many charts โ donโt know where to look when an alert fires?
- PromQL is too hard to write and understand?
- Performance jitters after deployment, but root cause is buried in dashboards?
Now, just ask your AI assistant in natural language โ and it will read your charts, detect anomalies, analyze trends, and identify issues.
What is this?
Grafana MCP Analyzer is a lightweight local service based on the MCP (Model Context Protocol). It bridges your Grafana charts with LLMs (like ChatGPT, Claude, Cursor), enabling AI-powered metric interpretation and analysis.
Charts + AI + Prompt = Smart diagnosis / Trend insights / Performance suggestions
Key Features
- Automatically reads chart data (supports
curlor raw JSON) - Works with Prometheus, Elasticsearch, MySQL, ClickHouse, and more
- Trend analysis, anomaly detection, and root cause localization
- Aggregated dashboard-level analysis supported
- Easy to install, zero-dependency, plug & play
Try it out and explore more here: GitHub - SailingCoder/grafana-mcp-analyzer: ่ฎฉAIๅฉๆ็ดๆฅๅๆไฝ ็Grafana็ๆงๆฐๆฎ - A Model Context Protocol server for Grafana data analysis