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24 days ago
glama

AgentOps EvalBench MCP

Enables LLM evaluation and observability by uploading documents, building test sets, running RAG pipelines, and automatically scoring answers for groundedness, hallucination risk, retrieval quality, latency, and cost, with tools exposed to MCP-compatible clients.

→ AbhinavVarma02/Agentops-Evalbench-MCP· listed on glama
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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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configAPI_BASE_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 4 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/abhinavvarma02-agentops-evalbench-mcp-c1joz1)](https://m8ven.ai/mcp/abhinavvarma02-agentops-evalbench-mcp-c1joz1)
commit: aa7c54c0982948c9331faaa8c6948bee39f92ad4
code hash: 85e25af14689bb883465089fa60f588fb0c0f903dd9db9ada70eb7c8b772809c
verified: 7/7/2026, 9:55:51 AM
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