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Review design docs with multiple models and generate calibrated consensus summaries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "design-review-mcp" yet — see the docs or source repo.
Run a multi-model adversarial review on this product design proposal: first retrieve relevant project context and past decisions, then compare model opinions across usability, implementation risk, edge cases, and metric impact, and finally produce a calibrated consensus summary, disagreements, and open questions.
A structured review with consensus conclusions, key risks, model disagreements, and recommended next actions.
Review this technical design document by asking multiple models to critique its architectural soundness, scalability, dependency risks, test coverage, and operational complexity, then combine project knowledge into a confidence-calibrated review summary.
A technical review summary outlining strengths, weaknesses, risk levels, confidence, and improvement suggestions.
Send this design document to multiple models and have them review it from product manager, designer, and engineer perspectives; use related requirement docs and meeting notes to produce a unified consensus summary that separates agreed points from unresolved debates.
A cross-functional feedback report clearly separating agreements, disputed points, and recommended decision directions.
Runs dual-model code reviews and synthesizes one unified report.
Operate design tools remotely for image processing and automated creative workflows.
Automate pull request reviews with multi-LLM feedback across GitHub and Bitbucket.
Review MCP servers for quality, security, scores, and improvement plans.
Automate code reviews with syntax checks, explanations, and improvement suggestions.
Search, read, and discover related design system components via MCP.