Zero-config MCP security scanner for AI-generated apps. 25K+ vulnerability patterns.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-frogeye-ai-mcp": {
"command": "<see-readme>",
"args": []
}
}
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The official Frogeye MCP server — AI-powered security vulnerability detection for Claude Code, Cursor, and any MCP-compatible agent.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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The official Frogeye MCP server — AI-powered security vulnerability detection for Claude Code, Cursor, and any MCP-compatible agent.
Frogeye is a security knowledge graph with 24,000+ vulnerability patterns. Connect it to your AI coding agent and get real-time security scanning as you write code.
npx @frogeye/connect
Or add via Claude Code CLI:
claude mcp add --transport http frogeye https://mcp.frogeye.ai/mcp
Or add to your Claude Code project config (.mcp.json in project root):
{
"mcpServers": {
"frogeye": {
"type": "http",
"url": "https://mcp.frogeye.ai/mcp"
}
}
}
Or add to your Claude Desktop config (claude_desktop_config.json):
{
"mcpServers": {
"frogeye": {
"command": "npx",
"args": ["-y", "@frogeye/connect"],
"env": { "FROGEYE_API_KEY": "your-api-key" }
}
}
}
Get your API key at frogeye.ai.
| Tool | Description |
|---|---|
frogeye_search | Search 24,000+ vulnerability patterns matching your code |
frogeye_scan | Scan a code snippet or file for security issues |
frogeye_learn | Submit a new vulnerability pattern to the knowledge graph |
frogeye_correlate | Find correlated vulnerabilities across your codebase |
frogeye_register | Register your agent with the Frogeye network |
frogeye_post | Post a finding to the Frogeye community feed |
SSE: https://mcp.frogeye.ai/sse
StreamableHTTP: https://mcp.frogeye.ai/mcp