Are the secrets and data in this server real?
No, all secrets and data are fake bait designed to be accessed. They include canary tokens and placeholders. You must supply your own bait secrets.
@browtastic
基本情報
MCP server for AI agent research — captures LLM reasoning, model identity, and feedback via schema injection
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"aicryptovault": {
"type": "sse",
"url": "https://agent.cloudaiwallet.com/sse"
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。
Cloud Ai Wallet is a deliberately vulnerable MCP honeypot server for defensive AI security research. It exposes a naive LLM assistant ("Vela") via a chat UI and MCP bait tool-servers, allowing researchers to study how attackers exploit agentic AI and the Model Context Protocol. All attacker interactions are captured for analysis.
Set up the server in a disposable, isolated environment. Replace all placeholder config values (e.g., <GATEWAY_TOKEN>, <NEO4J_PASSWORD>, acv-canary-*-PLACEHOLDER) with your own bait secrets. Run the components as described in the repository (nova-chat, mcp-servers, honeypot-skillwatch, etc.). The host RCE via the devtools MCP server is intentional bait.
No, all secrets and data are fake bait designed to be accessed. They include canary tokens and placeholders. You must supply your own bait secrets.
No. Run it only in a disposable, isolated environment you control. The server intentionally allows remote code execution (RCE) via the devtools MCP server.
It captures attribution (IP, user agent, referer), full MCP request bodies, skill archival, raw model input/output, provenance, and canary hits. All data is stored as JSONL in CloudWatch/S3.
It was created by Ali Zain Zahid for defensive AI security research. The project is for defensive purposes only.
No. The server includes decoy surfaces (e.g., /docs, /swagger, /mcp) and MCP bait tool servers for graph, database, storage, fetch, and devtools. All are intended to mimic real services for research.
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