Prometheus
Enables AI agents to query, discover, and analyze Prometheus metrics through natural language interactions via a unified interface.
About
Prometheus MCP Server acts as a bridge between AI assistants and Prometheus, allowing users to interact with their monitoring infrastructure using natural language. It provides AI agents with programmatic access to Prometheus metrics via a unified interface, supporting effortless querying, discovery, and analysis through various MCP clients like Visual Studio Code, Cursor, Windsurf, and Claude Desktop. This integration empowers AI to understand and respond to queries about your system's performance and status, making monitoring more intuitive and accessible for developers and operations teams.
Key Features
- Direct API integration with Prometheus for fast and lightweight operation.
- Optimized for AI assistants with structured JSON responses.
- Configurable tool categories for security and operational control.
- Supports both stdio and HTTP transports for broad compatibility.
- 2 GitHub stars
Use Cases
- Querying available Prometheus metrics and current system usage with natural language commands.
- Performing advanced analysis, like comparing CPU usage between environments or tracking error rate trends over time.
- Discovering and exploring Prometheus infrastructure components, such as scrape targets, metrics, and labels.