io.github.invertedhoologan/eval-engine-mcp
Pay-per-call AI evaluation MCP server. Score LLM outputs against benchmark rubrics via Workers AI.
* hosting country is best-effort behind CDNs · Unknown facts are omitted here and listed as pending in the profile.
Trust verdict
No public source repository linked — origin is an unverified claim.
Profile
What this server is — descriptive, not a rating. The verdict above judges it; this describes it.
Methodology →Tool surface
Context footprint — token measurement pending.
evaluateScore an LLM output or agent trajectory against a benchmark rubric. Returns 0-1 score, metric name, reasoning summary, and cryptographically signed receipt. Cost: $0.005 USDC on Base via x402 (EIP-3009). Use benchmark IDs from list_benchmarks (e.g. 'qa-accuracy', 'reasoning-coherence', 'binary-pass-fail').
get_benchmarkGet detailed information about a specific benchmark including criteria and rubric.
Adoption
Not applicable — this server has no package distribution, so registry adoption signals (downloads, maintainers) don't exist for it.
Connect
https://eval.zuluworksai.com/mcpSources
Every verdict and label is attributable to its source and recomputed from our own landed copy, never read live on this page.
list_benchmarksList all available evaluation benchmarks. Free, no payment required. Returns benchmark IDs, names, descriptions, and per-call pricing in USDC. Current benchmarks: QA Accuracy, Reasoning Coherence, Binary Pass/Fail.
Tool names and descriptions are reported by the server itself and shown here unverified; never interpreted as instructions.