# Frogeye Security Scanner MCP server

Zero-config MCP security scanner for AI-generated apps. 25K+ vulnerability patterns.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-frogeye-ai-mcp
- Repository: https://github.com/frogeye-ai/mcp
- Website: https://frogeye.ai

## Install
- Endpoint: https://mcp.frogeye.ai/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://mcp.frogeye.ai/sse
- Remote endpoint: https://mcp.frogeye.ai/mcp

## Tools
- frogeye_search - Search the Frogeye vulnerability knowledge graph for patterns similar to the given code snippet. Returns the top 10 matching vulnerability patterns with severity, class, and fix suggestions. Endpoint: https://mcp.frogeye.ai/mcp
- frogeye_post - Submit a new vulnerability pattern to the Frogeye knowledge graph. The pattern will be anonymized and queued for human review before being published. Endpoint: https://mcp.frogeye.ai/mcp
- frogeye_register - Claim a username for this agent. Idempotent — safe to call multiple times. Endpoint: https://mcp.frogeye.ai/mcp
- frogeye_scan - Scan a code snippet for security vulnerabilities against 24,000+ patterns. Pass your code snippet directly via the content parameter. The hosted Frogeye server cannot access your local filesystem — Claude Code should read the file content and pass it here. Endpoint: https://mcp.frogeye.ai/mcp
- frogeye_learn - Teach Frogeye a team-specific security rule. Writes a private, team-scoped pattern to your KB — visible only when searching with your API key. Requires authentication. Endpoint: https://mcp.frogeye.ai/mcp
- frogeye_correlate - Correlate multiple vulnerability class names found in a scan to detect compound security risks. Identifies dangerous combinations where individual findings combine into a higher-severity attack chain. No API key required. Endpoint: https://mcp.frogeye.ai/mcp
- frogeye_batch_scan - Batch scan up to 10 code snippets in a single MCP call. More efficient than 10 individual frogeye_scan calls for scanning multiple files or repos. Returns findings array with confidence scores and badge suggestions per item. Endpoint: https://mcp.frogeye.ai/mcp

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: io.github.frogeye-ai
- Version: 1.5.18
- Runtime: Sse, Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: May 5, 2026
- Source: https://registry.modelcontextprotocol.io