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hunt-mcp-security

Hunt Model Context Protocol (MCP) vulnerabilities in AI-tool integration systems.

redteam/hunt-mcp-security/SKILL.md

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# MCP Security Hunting

Hunt vulnerabilities in Model Context Protocol (MCP) implementations — the standard protocol that lets AI applications connect to external tools (databases, APIs, files, web services). MCP introduces a unique attack surface where AI agents become the attack vector and tool responses become the delivery mechanism. Tools exposed without access control, unsanitized input handling, and over-trusted tool outputs enable privilege escalation, data exfiltration, and system compromise through the AI itself.

## When to Use

- Target deploys AI agents with MCP tool access (Claude Desktop MCP, Cursor AI tools, custom agent frameworks).
- AI agent can invoke tools (database queries, file operations, API calls, web searches).
- Tool registration, schema validation, or access control logic is present.
- Need to test whether tool outputs can inject prompts back into the agent.
- Target uses RAG (Retrieval Augmented Generation) with external data sources.

## Quick Detection
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