VictoriaMetrics is a fast, cost-effective and scalable time-series database and monitoring solution, designed for collecting and analyzing metrics data in distributed systems.
Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.
25
272
3,226
Apache 2.0
Why this server?
Planned direct integration as a Prometheus-compatible backend, allowing the same bounded metrics query and evidence contract as Prometheus without requiring Grafana.
Enables AI assistants to manage Docker containers and Compose stacks through natural language, including lifecycle operations, logs, stats, and secure remote access.
21
186
2
MIT
Why this server?
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.
Allows querying pipeline metrics and custom PromQL queries against VictoriaMetrics, enabling monitoring of throughput, latency, dead-letter queue rate, and other operational metrics.
Model Context Protocol server for managing and diagnosing GlassFlow streaming pipelines, exposing pipeline CRUD, metrics queries, log search, and a composite diagnostic tool as MCP tools that AI agents can call over SSE transport.
Apache 2.0
Why this server?
Integrates with VictoriaMetrics vmanomaly for health monitoring, model management, configuration generation, alert rule generation, and documentation search.
MCP server that integrates with VictoriaMetrics vmanomaly API to enable AI-assisted anomaly detection, model management, and configuration generation.
9
Apache 2.0
Why this server?
Provides a comprehensive interface for traces, observability, and debugging tasks related to VictoriaTraces instances, allowing querying, exploring, and analyzing traces data through MCP tools.
Provides access to your VictoriaTraces instance and seamless integration with VictoriaTraces APIs and documentation for querying traces, services, and operations.
14
Apache 2.0
Why this server?
Provides tools for querying and analyzing metrics from VictoriaMetrics, enabling anomaly detection and incident analysis.
Enables incident detection and analysis by identifying anomalies in metric time series and surfacing root-cause candidates and recommended actions. Supports both mock (synthetic) and VictoriaMetrics backends with identical MCP tool contracts for seamless development-to-production switching.
MIT
Why this server?
Provides access to VictoriaLogs instance APIs for querying logs, exploring log data, showing instance parameters, listing available streams/fields/field values, and querying log statistics as metrics.
