Do I need a Snyk account to use it?
Yes. You must sign up at Snyk, obtain an API token, and set it as the `SNYK_TOKEN` environment variable.
@invariantlabs-ai
基本信息
Security scanner for AI agents, MCP servers and agent skills.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-scan": {
"command": "uvx",
"args": [
"snyk-agent-scan@latest"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
MCP-Scan (also known as Snyk Agent Scan) is a security scanner that discovers and scans agent components on your machine—including MCP servers, agent tools, and skills—for prompt injections, malware payloads, and other vulnerabilities. It is designed for developers and security teams who need to inspect the supply chain of AI agents.
Obtain a Snyk API token and set it as the SNYK_TOKEN environment variable. Install uv on your system, then run uvx snyk-agent-scan@latest to auto-discover and scan all agents, MCP servers, and skills. You can also scan specific MCP configuration files or skill files by passing file paths as arguments.
Yes. You must sign up at Snyk, obtain an API token, and set it as the `SNYK_TOKEN` environment variable.
Scanning an MCP config executes the commands defined in it to retrieve tool descriptions. Agent Scan prompts for user consent before starting each stdio server; for non‑interactive environments use `--dangerously-run-mcp-servers`.
Yes. Skills, agent applications, tool names, and descriptions are shared with Snyk for security analysis. Agent Scan does not store or log the contents or results of MCP tool calls.
Claude Desktop/Code, Cursor, Windsurf, VS Code, Gemini CLI, Amazon Q, and several others across macOS, Linux, and Windows.
Python (via PyPI package `snyk-agent-scan`), the `uv` tool, and network access to Snyk’s API.

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