AgentHound

Item: AgentHound
Rating: 45
Author: M8ven

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.

→ adithyan-ak/AgentHound · listed on github_topic

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 1 credential: LITELLM_MASTER_KEY

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.

configPORT

configA2A_BASE_URL

configLITELLM_URL

🔐 secretLITELLM_MASTER_KEY— With set, inventory LiteLLM credential references and

configMLFLOW_TRACKING_URI

// 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 — verified publishers only

We have 0 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/adithyan-ak-agenthound-1dwpe1)](https://m8ven.ai/mcp/adithyan-ak-agenthound-1dwpe1)

commit: a0e2d685c1529dc2d503d2f6eddf4a215eb5ee27

code hash: c487f23d044a898754af1fe4ac9d3ac8e9c448cae81cd3765ae393cabd93fd88

verified: 7/30/2026, 9:07:32 AM

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