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 pab1it0 · MCP Server · ★ 187
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-a2a safe to install? View the security audit →
Awesome A2A A curated list of awesome Agent2Agent (A2A) protocol servers. This repository collects and organizes A2A-compliant server implementations to help developers build interoperable AI agent systems. What is A2A? Clients Tutorials Community Legend Server Implementations Frameworks Utilities Contributing License What is A2A? A2A (Agent2Agent) is an open protocol created by Google that enables different AI agents to communicate and collaborate with each other using a standardized interface. The protocol allows agents to discover capabilities, submit tasks for execution, monitor task progress, and receive task results in a unified way. Clients AI clients that can interact with A2A servers: Claude from Anthropic Gemini from Google Custom A2A-compatible clients Tutorials Getting Started with A2A Protocol Building Your First A2A Server Community Google A2A GitHub Legend 🎖️ – official implementation programming language 🐍 – Python codebase 📇 – TypeScript/JavaScript codebase
| Stars | 187 |
| Forks | 62 |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.7999103332181/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-22 |
| Created | 2025-04-09 |
| Platforms | cli, mcp |
| Est. Tokens | ~18k |
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awesome-a2a is Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.. It is categorized as a MCP Server with 187 GitHub stars.
You can find installation instructions and usage details in the awesome-a2a GitHub repository at github.com/pab1it0/awesome-a2a. The project has 187 stars and 62 forks, indicating an active community.
awesome-a2a is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-a2a on Agent Skills Hub include awesome-a2a, nuwax, agentscope-runtime. 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: