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 · ★ 178
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gate22 safe to install? View the security audit →
Gate22: Open-Source MCP Gateway and Control Plane [!NOTE] This repo is for Gate22. If you're looking for the Tool-calling Platform, see ACI. Govern which tools agents can use, what they can do, and how it’s audited—across agentic IDEs like Cursor, or other agents and AI tools. Gate22 is built for engineering organizations and teams (Platform/Infra/DevEx, Security, Data/Analytics Eng). Admins onboard any remote MCP server (internal or external), set credential modes (org-shared or per-user), and define function-level allow lists per configuration. Developers then compose their own bundles from MCP configurations they’re permitted to use and expose them through a single unified MCP endpoint with just two fu
| Stars | 178 |
| Forks | 24 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 58.351822566932/100 |
| Open Issues | 23 |
| Last Updated | 2025-12-12 |
| Created | 2025-08-19 |
| Platforms | mcp, node |
| Est. Tokens | ~429k |
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gate22 is Open-source MCP gateway and control plane for teams to govern which tools agents can use, what they can do, and how it’s audited—across agentic IDEs like Cursor, or other agents and AI tools.. It is categorized as a MCP Server with 178 GitHub stars.
gate22 is primarily written in TypeScript. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the gate22 GitHub repository at github.com/aipotheosis-labs/gate22. The project has 178 stars and 24 forks, indicating an active community.
gate22 is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to gate22 on Agent Skills Hub include memov, preloop, flow-like. 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: