No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by aipotheosis-labs · MCP Server · ★ 4.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aci safe to install? View the security audit →
ACI: Open-Source Infra to Power Unified MCP Servers and VibeOps [!NOTE] This repo is for the ACI.dev platform. If you're looking for the Unified MCP server built with ACI.dev, see aci-mcp. ACI.dev is the open-source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent. It gives agents intent-aware access to to
| Stars | 4,894 |
| Forks | 487 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 55.9445978430717/100 |
| Open Issues | 64 |
| Last Updated | 2026-05-28 |
| Created | 2024-09-19 |
| Platforms | mcp, python |
| Est. Tokens | ~1357k |
These tools work well together with aci for enhanced workflows:
Looking for a aci alternative? If you're comparing aci 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.
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aci is ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.. It is categorized as a MCP Server with 4.9k GitHub stars.
aci is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the aci GitHub repository at github.com/aipotheosis-labs/aci. The project has 4.9k stars and 487 forks, indicating an active community.
aci is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to aci on Agent Skills Hub include klavis, superglue, voltagent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: