by evolution-foundation · MCP Server · ★ 614
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/EvolutionAPI/evo-ai.git
docker run -p 3000:3000 -e NEXT_PUBLIC_API_URL=http://localhost:8000 evo-ai-frontendTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 614 |
| Forks | 196 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71/100 |
| Open Issues | 20 |
| Last Updated | 2025-06-02 |
| Created | 2025-05-13 |
| Platforms | mcp, node |
| Est. Tokens | ~7539k |
Evo AI - AI Agents Platform Evo AI - AI Agents Platform Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services. 🚀 Overview The Evo AI platform allows: Creation and management of AI agents Integration with different language models Client management and MCP server configuration Custom tools management Google Agent...
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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: