# yzfly/Awesome-MCP-ZH

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

Repository: https://github.com/yzfly/Awesome-MCP-ZH
Canonical: https://ross.abutalabs.com/products/awesome-mcp-zh
License: MIT
License Family: permissive
Topics: claude, deepseek, mcp, mcp-clients, mcp-host, mcp-server, mcp-servers, mcp-tools, claude-mcp, deepseek-mcp, qwen-mcp, mcp-servers-directory
Last push: 2026-08-25T11:52:38+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 37
- inputs: {"age_days": 518, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7604, forks 737 (observed 2026-08-28T04:10:01.963847+00:00)

## What it is
A curated Chinese-language collection of resources for the Model Context Protocol (MCP), including guides, MCP clients, MCP servers, and community links. It helps Chinese-speaking developers understand and get started with connecting AI models to external tools and data.

## Use cases
- learn what MCP is in Chinese
- find curated MCP servers for my AI agent
- find MCP clients like Cherry Studio or Claude
- get started building MCP servers
- understand MCP transport mechanisms
- find MCP resources for DeepSeek or Qwen models

## When to choose
- you are a Chinese-speaking developer learning MCP
- you want a curated directory of MCP servers and clients
- you need beginner-friendly MCP guides and tutorials

## When to avoid
- you need official English MCP documentation
- you need runnable code rather than a resource list
- you need an MCP server or client implementation itself

## Facets
- artifact type: learning-resource
- maturity: active
- function: mcp, documentation, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, chinese, model-context-protocol, mcp-servers, mcp-clients, curated-resources, ai-agents

## Member repositories
- yzfly/Awesome-MCP-ZH (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:01.963847+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:36:51.238660+00:00, confidence not recorded.
  - readme: https://github.com/yzfly/Awesome-MCP-ZH (fetched 2026-08-28T04:10:01.963847+00:00, sha 8e218e92b406)
- Data as of 2026-08-30T08:39:29.467469+00:00.