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.
- Score
- 22.5571 signal
- Evidence
- 1 star
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
Alternatives · MCPs
- iris-eval7 stars · 2 forks60.262
- noema-ai-mcp-server3 stars38.412
- adr-mcp-setup3 stars38.412
What it is
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.
When to use it
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.
How to install / invoke
See Glama for the install config.
Notes
Listed from the Glama MCP registry.