mcp-server-starrocks: StarRocks MCP (Model Context Protocol) Server

by StarRocks · MCP Server · ★ 187

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

Security audit verdict: SAFE · quality 71/100

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. Full audit →

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.

agentaidatabasemcp-servermodel-context-protocolstarrocks

Quick Facts

Stars187
Forks64
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score71/100
Open Issues3
Last Updated2026-09-08
Created2025-03-05
Platformsmcp, python
Est. Tokens~17k

About mcp-server-starrocks

StarRocks Official MCP Server The StarRocks MCP Server acts as a bridge between AI assistants and StarRocks databases. It allows for direct SQL execution, database exploration, data visualization via charts, and retrieving detailed schema/data overviews without requiring complex client-side setup. Features Direct SQL Execution: Run queries () and DDL/DML commands ().

Compatible Skills

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

  • sec-edgar-mcp — semantic(0.68)+same_lang+similar_pop+shared_platform (59%)
  • plane-mcp-server — semantic(0.67)+same_lang+similar_pop+shared_platform (59%)
  • bloodhound_mcp — semantic(0.60)+same_lang+similar_pop+shared_platform (56%)
  • zendesk-mcp-server — semantic(0.73)+same_lang+similar_pop+shared_platform (55%)

mcp-server-starrocks alternative? Top 6 similar tools

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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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