This MCP server provides an interface for AI assistants to interact with VictoriaMetrics time series database for monitoring and observability data:

• Write custom metrics - Insert time series data with metric tags, values, and timestamps

• Import Prometheus format data - Ingest metrics in Prometheus exposition format for ecosystem compatibility

• Query current values - Execute PromQL queries to retrieve instantaneous metric values at specific points in time

• Query time ranges - Run PromQL queries over specified time periods with configurable start, end, and resolution steps for historical analysis

• Discover labels - Retrieve all unique label names to explore metric structure

• Get label values - Fetch all unique values for specific labels to understand metric dimensions

• Integrate with Claude Desktop - Install via Smithery or manual NPX configuration

This server bridges AI assistants and VictoriaMetrics, enabling automated metric analysis, data ingestion, and time-series exploration through natural language interactions.

Enables importing Prometheus exposition format data and executing PromQL queries against the VictoriaMetrics database.

Provides tools for reading and writing time series data to VictoriaMetrics, including capabilities for querying data over specific time ranges, importing Prometheus format data, and retrieving label information.