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Pay-per-call AI evaluation MCP server. Score LLM outputs against benchmark rubrics via Workers AI.

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Tool DescriptionsA

Average 4.1/5 across 3 of 3 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a distinct purpose: listing benchmarks, getting details, and performing evaluation. No overlap or ambiguity.

Naming Consistency5/5

All tool names use lower_snake_case with clear verbs (list, get, evaluate) and follow a predictable pattern.

Tool Count5/5

With 3 tools covering the essential workflow of discovering, inspecting, and using benchmarks, the count is appropriate and well-scoped.

Completeness5/5

The tool set covers the complete user-facing workflow: discover benchmarks, get details, and evaluate. No obvious gaps for the intended purpose.

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