mcp-victoriametrics: The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

by VictoriaMetrics · MCP Server · ★ 242

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-victoriametrics

git clone https://github.com/VictoriaMetrics/mcp-victoriametrics.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 77/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aimcpmcp-servermonitoringobservabilityragvictoriametrics

Quick Facts

Stars242
Forks35
LanguageGo
CategoryMCP Server
LicenseApache-2.0
Quality Score77/100
Open Issues16
Last Updated2026-11-02
Created2025-05-08
Platformsgo, mcp
Est. Tokens~25k

About mcp-victoriametrics

VictoriaMetrics MCP Server The implementation of Model Context Protocol (MCP) server for [VictoriaMetrics](https://docs.victor

Compatible Skills

These tools work well together with mcp-victoriametrics for enhanced workflows:

  • last9-mcp-server — semantic(0.44)+rare_topics+same_lang+similar_pop+shared_platform (54%)
  • clawmetry — semantic(0.24)+complementary+rare_topics+similar_pop (47%)
  • mcp-trino — semantic(0.49)+same_lang+similar_pop+shared_platform (47%)
  • kieker — semantic(0.23)+complementary+rare_topics+similar_pop (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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