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11 days ago
glama

frogeye-mcp

AI-powered security vulnerability detection for MCP-compatible agents, offering real-time scanning of code against a knowledge graph of 24,000+ vulnerability patterns.

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// key findings
🚨
Secret credentials may flow to a network call
2 flows detected: HISOLO_API_TOKEN. We can’t prove the destination matches the brand the credential belongs to.
⚠️
Known vulnerabilities in dependencies: 3 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
πŸ”
You'll be asked for 3 credentials: FROGEYE_BADGE_SECRET, HISOLO_API_TOKEN, UPSTASH_REDIS_REST_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configDATABASE_URL
configFROGEYE_API_URL
πŸ” secretFROGEYE_BADGE_SECRET
πŸ” secretHISOLO_API_TOKEN
configHISOLO_PROXY_URL
configMCP_TRANSPORT
configPORT
πŸ” secretUPSTASH_REDIS_REST_TOKEN
configUPSTASH_REDIS_REST_URL
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance β€” verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/frogeye-ai-mcp-6ats6u)](https://m8ven.ai/mcp/frogeye-ai-mcp-6ats6u)
commit: 92724f0049778125672160b17364c1bf78022314
code hash: 402c99cd72d8d330d7df1c3e20693b57bacc54c98f25745b231c3e0db8c0c6a5
verified: 6/10/2026, 11:44:12 AM
view raw JSON β†’
frogeye-mcp Β· M8ven Trust Score | M8ven