AgentHound
Offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack.
Ranked by AgentPick Score, our data score from public GitHub activity. Description is the project's own.
Topics: a2a, agentic-ai, ai-agents, ai-security, attack-paths, bloodhound, llm-security, mcp, model-context-protocol, neo4j, offensive-security, pentesting
Starter prompt
Connect the AgentHound MCP server to my agent with the narrowest permissions possible, then do [task] and tell me which tool calls you made.
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