Fetches real-time metrics from Prometheus or VictoriaMetrics and exposes them for AI agent consumption.
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This server acts as a bridge, fetching vital real-time performance metrics directly from Prometheus or VictoriaMetrics. It transforms these complex data points into readily usable tools for AI agents like Cursor or Claude, allowing them to quickly diagnose application health, identify performance bottlenecks, and understand system behavior across various services, APIs, databases, and external calls. Developers and operations teams can leverage AI to query and interpret performance data efficiently, streamlining troubleshooting and monitoring workflows.
Key Features
01Integrates with Prometheus and VictoriaMetrics for real-time data fetching
02Exposes performance metrics as AI agent-consumable tools (MCP server)
03Offers flexible deployment as a standalone REST API or a direct MCP server for AI tools
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05Monitors API P99 latency, requests per second (RPS), and average latency
06Tracks performance of external HTTP calls, database repository methods, and Redis operations
Use Cases
01Enable AI agents to diagnose application performance bottlenecks automatically
02Provide AI agents with insights into database and external call latencies for comprehensive system analysis
03Monitor real-time API and service health directly within AI agent environments
