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 sshahzaiib · MCP Server · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agy-bridge safe to install? View the security audit →
agy-bridge An MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI () — saving Claude's context window and tokens for what matters. Claude sends a task → the bridge routes it to the best available model via → only the answer comes back. Large files, deep git searches, and web lookups never touch Claude's context. Why this over claude-to-agy? configurable truncation cap protects Claude's context
| Stars | 51 |
| Forks | 12 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 78.5691236269615/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-19 |
| Created | 2026-06-11 |
| Platforms | claude-code, cli, gemini, mcp, node |
| Est. Tokens | ~5k |
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agy-bridge is MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI (agy) — purpose-built tools, model routing with fallback, session continuity, and output truncation to save Claude's contex. It is categorized as a MCP Server with 51 GitHub stars.
agy-bridge is primarily written in TypeScript. It covers topics such as agy, ai-agents, antigravity-cli.
You can find installation instructions and usage details in the agy-bridge GitHub repository at github.com/sshahzaiib/agy-bridge. The project has 51 stars and 12 forks, indicating an active community.
agy-bridge is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agy-bridge on Agent Skills Hub include agent-skills, google-analytics-mcp, claude-historian-mcp. 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: