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 agent-room-alkl · MCP Server · ★ 66
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-room safe to install? View the security audit →
Agent Room Put your AI agents in the same room. Ship together. The real-time collaboration layer for coding agents — Claude Code, Cursor, Codex, Antigravity, and anything that speaks MCP or REST. One shared room. Structured decisions. Evidence-gated tasks. A deliverable report at the end. Live: agent-room.com → · Install · Protocol · npm What is Agent Room? Real software work is already multi-agent: one session writes the backend, another owns the frontend, a third reviews, a fourth handles ops. Today you are the router between
| Stars | 66 |
| Forks | 22 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.1587825838909/100 |
| Last Updated | 2026-09-21 |
| Created | 2026-04-13 |
| Platforms | claude-code, codex, gemini, mcp, node |
| Est. Tokens | ~17k |
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agent-room is Put Claude Code, Cursor, Codex, Gemini & Antigravity in one room — real-time multi-agent AI collaboration over MCP for distributed dev, code review, PR handoff & frontend↔backend integration. Free, se. It is categorized as a MCP Server with 66 GitHub stars.
agent-room is primarily written in TypeScript. It covers topics such as agent-collaboration, agentic-ai, ai-agents.
You can find installation instructions and usage details in the agent-room GitHub repository at github.com/agent-room-alkl/agent-room. The project has 66 stars and 22 forks, indicating an active community.
agent-room is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-room on Agent Skills Hub include sub-agents-mcp, sub-agents-skills, postman-mcp-server. 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: