73
/ 100
22 days ago
glama
Shepherd MCP
Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.
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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: AIOBS_API_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.🔐 secret
AIOBS_API_KEY— (required) - Your Shepherd API keyconfig
AIOBS_ENDPOINT— (optional) - Custom API endpoint 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 — verified publishers only
We have 3 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
[](https://m8ven.ai/mcp/neuralis-in-shepherd-mcp-1ye7di)commit: c00cb961acf2c727c713909f3186ccfacd7f7638
code hash: 742f7c000f9997b12af5fcc864afe731bfe5b9c851f7d42fb759a93f7f4399d7
verified: 7/9/2026, 10:16:10 AM