minds-platform: Platform dedicated to building an open foundation for applied Artificial Intelligence, designed for people

by mindsdb · MCP Server · ★ 39.2k

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

Security audit verdict: SAFE · quality 54/100

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.

agentsaianalyticsartificial-inteligencebigquerybusiness-intelligencedatabaseshacktoberfestllmsmcp

Quick Facts

Stars39,229
Forks6,209
LanguagePython
CategoryMCP Server
Quality Score54/100
Open Issues90
Last Updated2026-06-02
Created2018-08-02
Platformsmcp, python
Est. Tokens~18234k

About minds-platform

Try it · Contact us for a demo · Community Slack MINDS PLATFORM Minds Platform is dedicated to building an open foundation for frontier Artificial Intelligence, designed for developers, businesses, and individuals seeking AI systems they can truly control, extend and deploy anywhere (VPC, on-prem or Cloud).

Compatible Skills

These tools work well together with minds-platform for enhanced workflows:

  • swarms — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • databao-context-engine — semantic(0.21)+complementary+rare_topics+same_lang+shared_platform (51%)

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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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