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 agentic-community · MCP Server · ★ 939
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-gateway-registry safe to install? View the security audit →
Unified Agent & MCP Server Registry – Gateway for AI Development Tools 🚀 Get Running Now [Community](#commun
| Stars | 939 |
| Forks | 241 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64.0672161360977/100 |
| Open Issues | 108 |
| Last Updated | 2026-09-23 |
| Created | 2025-05-29 |
| Platforms | mcp, python |
| Est. Tokens | ~25k |
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mcp-gateway-registry is Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI agents and AI coding a. It is categorized as a MCP Server with 939 GitHub stars.
mcp-gateway-registry is primarily written in Python. It covers topics such as a2a, agentic-ai, agents.
You can find installation instructions and usage details in the mcp-gateway-registry GitHub repository at github.com/agentic-community/mcp-gateway-registry. The project has 939 stars and 241 forks, indicating an active community.
mcp-gateway-registry is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-gateway-registry on Agent Skills Hub include gram, archestra, Observal. 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: