mcp-victorialogs and mcp-victoriametrics
These are ecosystem siblings that serve different but complementary layers of the same observability stack: VictoriaMetrics handles metrics storage and querying while VictoriaLogs handles log aggregation and analysis, allowing users to instrument both signals through a unified MCP interface.
About mcp-victorialogs
VictoriaMetrics/mcp-victorialogs
The implementation of Model Context Protocol (MCP) server for VictoriaLogs.
Exposes VictoriaLogs' read-only APIs—including log querying, stream/field enumeration, and query statistics—through MCP tools alongside embedded, searchable documentation for offline access. Supports multiple deployment modes (stdio, HTTP) with environment-based configuration for authentication and multi-tenancy, enabling AI clients like Claude Desktop to perform log analysis and debugging tasks directly against VictoriaLogs instances.
About mcp-victoriametrics
VictoriaMetrics/mcp-victoriametrics
The implementation of Model Context Protocol (MCP) server for VictoriaMetrics
Exposes VictoriaMetrics' read-only APIs through MCP tools, enabling querying, metric exploration, rule analysis, and cardinality debugging directly from AI clients. Operates in multiple modes (stdio, HTTP/SSE) with embedded documentation searchable offline, allowing seamless integration with Claude and other MCP-compatible clients without external API calls.
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