lanhu-mcp

Name: lanhu-mcp Review
Item: lanhu-mcp
Rating: 3.8
Author: Aaron Matthews

Connector Development Solid

Works inClaude Code Claude Cowork Claude Chat

Solid Scanned — metadata only

Bridges the gap between product requirements and code generation by automating requirement analysis and asset extraction, reducing design-to-implementation h…

⚡ 需求分析效率提升 200%！全球首个为 AI 编程时代设计的团队协作 MCP 服务器，自动分析需求自动编写前后端代码，下载切图

Generate frontend and backend code automatically from written requirements documents.
Extract and download design assets and cut images directly from design specifications.
Analyze product requirements and create implementation-ready code in minutes instead of hours.

2,057 starsMIT (commercial OK)FreeNo code needed

Why it matters

Bridges the gap between product requirements and code generation by automating requirement analysis and asset extraction, reducing design-to-implementation handoff friction and rework cycles.

Best for

Engineering teams adopting AI-assisted development workflows who need integrated requirement parsing and design asset management.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/dsphper/lanhu-mcp

By dsphper

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

claude mcp add lanhu-mcp -- npx -y lanhu-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Help me generate frontend and backend code automatically from written requirements documents

CostFree

Trust Signals Auto-scanned

Stars2,057Last updated2026-07-29LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-29 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 2,057 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

4/5

Versatility

5/5

Reliability

3/5

Security

3/5

Overall score3.85 / 5.00 SolidEvaluatedJul 2026

Scored from trust signals (evidence-eval-v1): 2,057 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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