MCPs › Dev tools › 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.
Not monetized yet
Turn AgentOps EvalBench MCP’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
Install AgentOps EvalBench MCP
For anyone using AgentOps EvalBench MCP — no Lulu account needed# stdio server — install per the repository README: https://github.com/abhinavvarma02/agentops-evalbench-mcp
9 field-tested tactics as a designed playbook plus skills your coding agent can run. Free.
Get the Kit →FAQ
AgentOps EvalBench MCP installs from source — follow the repository README.
Unrated out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
Similar servers
Works well together
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This is for the person who owns AgentOps EvalBench MCP — adds Lulu Ads to your own code. Not the install steps above, those are for your users.
Copies a ready prompt: your coding agent installs the lulu-ads SDK, wires the slot, and applies the widget design guide.
or set up manually at getlulu.dev/publishers
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Managed hosting with monetization built in — waitlist.
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