“LLM evaluation”

MCP as a Judge: a behavioral MCP that strengthens AI coding assistants via explicit LLM evaluations

Run a golden set and gate LLM model swaps on accuracy, with latency and cost per request.

MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.

Manage, version, and publish LLM prompts with blocks, variables, and evaluations.

EU-hosted AI platform: OpenAI-compatible LLM gateway, document extraction, transcription, agents.

Guardrails for LLM output: pass / fail / review verdicts and one recommended action.

Generate QA datasets & evaluate RAG systems with failure diagnosis.