VictoriaMetrics

About

The VictoriaMetrics MCP Server implements the Model Context Protocol, offering a robust interface for AI agents and tools to interact directly with VictoriaMetrics instances. It streamlines monitoring, observability, and debugging tasks by exposing almost all read-only VictoriaMetrics APIs, including querying metrics, analyzing rules, and exploring data cardinality. Furthermore, it incorporates up-to-date VictoriaMetrics documentation, allowing for offline searches and enriching the context available to AI models for advanced automation and interaction capabilities.

Key Features

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• Debug data processing configurations such as relabeling, downsampling, and retention policies.
• Access VictoriaMetrics instance parameters, cardinality, and metrics usage statistics.
• Search embedded, up-to-date VictoriaMetrics documentation without requiring online access.
• Query and explore metrics data, including support for graph visualization in capable clients.
• Analyze and test VictoriaMetrics alerting and recording rules.

Use Cases

• Enable AI-driven monitoring, observability, and debugging of VictoriaMetrics instances.
• Provide contextual awareness to AI models by integrating VictoriaMetrics documentation for informed responses and query generation.
• Automate interactions with VictoriaMetrics APIs and data through conversational AI interfaces.