by VictoriaMetrics · MCP Server · ★ 242
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/VictoriaMetrics/mcp-victoriametrics.git
Taken from the project's README on GitHub.
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.
| Stars | 242 |
| Forks | 35 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 77/100 |
| Open Issues | 16 |
| Last Updated | 2026-11-02 |
| Created | 2025-05-08 |
| Platforms | go, mcp |
| Est. Tokens | ~25k |
VictoriaMetrics MCP Server The implementation of Model Context Protocol (MCP) server for [VictoriaMetrics](https://docs.victor
These tools work well together with mcp-victoriametrics for enhanced workflows:
Looking for a mcp-victoriametrics alternative? If you're comparing mcp-victoriametrics with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth,
🏠 Tells you what changed on your server — only what's worth telling. Single Go binary, no database, nothing r
🐘 Give AI assistants full PostgreSQL DBA superpowers — 30+ tools for performance analysis, bloat detection, l
MCPcat is an analytics platform for MCP server owners 🐱.
The Crossroads for AI Data Exchanges. A unified, self-hostable web interface for discovering, configuring, and
Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent t
Explore other popular mcp server tools:
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: