# design-review-mcp

> Use this tool when you need to review and refine designs by leveraging multiple large language models (LLMs) to provide calibrated consensus summaries. It solves problems of inconsistent or biased design reviews by distributing design documents to multiple LLMs and retrieving project knowledge. The tool takes design documents as input and produces consensus summaries as output, ideal for use cases where collaborative and informed design decision-making is crucial.

Canonical page: https://skillsregistry.net/skills/fanghaoling-design-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fanghaoling-design-review-mcp

## Description

Multi-model adversarial design review MCP server that distributes design documents to multiple LLMs, retrieves project knowledge, and produces calibrated consensus summaries.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xuna12rkas)
- **Repository:** <https://github.com/fanghaoling/brainregion>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "fanghaoling-design-review-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fanghaoling-design-review-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fanghaoling-design-review-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt