What vulnerability sources does Riskscore use?
Riskscore uses data from CVE, NVD, CISA KEV, and OSV.dev.
@ItIsCuthNotCup
基本信息
Security awareness for AI agents — so your agent knows what's dangerous before it acts. Powered by CVE, NVD, CISA KEV, and OSV.dev vulnerability data with 196 credential detection rules, returning allow/warn/block decisions in real time. Stop your agent from running vulnerable de
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"riskscore": {
"command": "python",
"args": [
"mcp/server.py"
],
"env": {
"RISKSCORE_API_KEY": "your_key_here",
"RISKSCORE_BASE_URL": "https://riskscore2.p.rapidapi.com"
}
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Riskscore provides security awareness for AI agents by checking actions against vulnerability data from CVE, NVD, CISA KEV, and OSV.dev, along with 196 credential detection rules. It returns allow, warn, or block decisions in real time, helping agents avoid running vulnerable dependencies, leaking secrets, or accidentally deleting files.
The README does not provide installation or configuration instructions. Invoke Riskscore to evaluate an agent’s intended action and receive an allow/warn/block decision based on current vulnerability and credential data.
Riskscore uses data from CVE, NVD, CISA KEV, and OSV.dev.
It includes 196 credential detection rules to identify and block potential secret leakage.
Riskscore returns one of three decisions: allow, warn, or block.
Riskscore is designed for AI agents and developers who want to embed security awareness directly into agent workflows.
The README does not list any specific runtime or dependency requirements.

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