yzfly/awesome-mcp-zh

★ 7,060Audience · developerComplexity · 1/5Setup · easy

Mindmap

mindmap
  root((awesome-mcp-zh))
    What it covers
      MCP overview
      Client app list
      Server catalog
    MCP clients
      Claude Desktop
      Cursor
      Cherry Studio
    Server categories
      Web scraping
      File management
      Code repositories
    Resources
      Explainer articles
      Beginner course

mindmap root((awesome-mcp-zh)) What it covers MCP overview Client app list Server catalog MCP clients Claude Desktop Cursor Cherry Studio Server categories Web scraping File management Code repositories Resources Explainer articles Beginner course

Click or tap to explore — scroll the page freely

Things people build with this

USE CASE 1

Find a ready-made MCP server for a specific task (web scraping, GitHub management, databases) to plug into your AI assistant

USE CASE 2

Learn how MCP works using Chinese-language explanations and tutorials without needing English documentation

USE CASE 3

Discover which AI client apps support MCP and get started with step-by-step guidance in your native language

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

Awesome-MCP-ZH is a curated Chinese-language collection of resources for MCP, which stands for Model Context Protocol. MCP is an open standard introduced by Anthropic in November 2024 that lets AI assistants connect to external tools, databases, and systems, allowing them to do more than just chat. The repository is aimed at Chinese-speaking users who want to get started with MCP without reading English-only documentation. It covers the basics of what MCP is, how it works, and which tools support it. The project is maintained by an individual author who also publishes explainer articles on Chinese social media platforms. The collection is organized into several sections. One section covers MCP client applications, which are the programs you use to run AI assistants that connect to MCP servers. Examples listed include Claude Desktop, Cherry Studio, Cursor, and several others. Each entry includes a brief description, a link, and a tip about who the client suits best. Another section lists curated MCP servers grouped by use case. MCP servers are the actual tools an AI model can call on, such as a browser automation server that lets the AI navigate web pages, a GitHub server for managing code repositories, or a database server for reading and writing records. The list covers dozens of categories including web scraping, file management, communication tools, and more. The README also includes links to the author own analysis articles explaining MCP concepts in plain Chinese, as well as a pointer to a Microsoft-produced beginner course for anyone who wants a structured introduction. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1

I want to connect Claude Desktop to a GitHub MCP server so it can read and manage my repositories. Based on awesome-mcp-zh, show me the setup steps.

Prompt 2

Using an MCP browser automation server from the awesome-mcp-zh list, help me write a workflow where my AI assistant navigates to a web page and extracts specific data.

Prompt 3

Which MCP servers in the awesome-mcp-zh list work best for reading and writing to a SQL database, and how do I connect one to Cursor?

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