Awesome-MCP-ZH

Name: Awesome-MCP-ZH Review
Item: Awesome-MCP-ZH
Rating: 3.8
Author: Aaron Matthews

Connector Development Solid

Works inClaude Code Claude Cowork Claude Chat

Solid Scanned — metadata only

Centralizes Chinese-language MCP documentation and server implementations, reducing discovery time and integration friction for teams building Claude workflo…

MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients

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7,649 starsMIT (commercial OK)FreeNo code needed

Why it matters

Centralizes Chinese-language MCP documentation and server implementations, reducing discovery time and integration friction for teams building Claude workflows in Mandarin-speaking regions.

Best for

Engineering teams in China and Asia-Pacific regions implementing MCP servers or integrating Claude into existing development infrastructure.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/yzfly/Awesome-MCP-ZH

By yzfly

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 Awesome-MCP-ZH -- npx -y Awesome-MCP-ZH

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:

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CostFree

Trust Signals Auto-scanned

Stars7,649Contributors154Last updated2026-09-07LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-15 · scanner v1

Data & Access

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

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 7,633 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 SolidEvaluatedSep 2026

Scored from trust signals (evidence-eval-v1): 7,633 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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