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Review design documents with multiple LLMs 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 of this product design document, use the project knowledge base, and return a consensus summary, key risks, disagreements, and improvement suggestions.
A structured design review with consensus conclusions, risk list, disputed points, and optimization suggestions.
Send this technical design spec to multiple models for review and retrieve relevant project context, focusing on requirement consistency, architectural soundness, missing items, and feasibility.
A calibrated summary highlighting consistency issues, architecture risks, missing items, and implementation recommendations.
Using this design document and project knowledge, simulate multi-model review from different role perspectives and produce a unified summary for product, design, and engineering teams.
A concise cross-functional summary that clearly states consensus, disagreements, and next actions.
Review design docs with multiple models and generate calibrated consensus summaries.
Render UI artifacts, run deterministic checks, and support iterative design reviews.
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.
Automate code reviews with syntax checks, explanations, and improvement suggestions.