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Zread

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Connects to the Zread.ai documentation platform, enabling AI assistants to read GitHub repository documents, search code, and interact with repository AI.

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About

Connects to the Zread.ai documentation platform, enabling AI assistants to read GitHub repository documents, search code, and interact with repository AI.

README

Python Node.js MCP License

连接 Zread.ai 文档平台的 MCP 服务器,让 AI 助手能够阅读 GitHub 仓库文档、搜索代码、与仓库 AI 对话。

💡 提示 AI:这是一个 MCP (Model Context Protocol) 服务器,提供 9 个工具用于代码仓库分析。支持 Python 和 Node.js 两种实现,可通过 npxuvx 一行命令运行。核心功能包括文档查询、仓库搜索、AI 问答。

功能

  • 文档查询 - 获取仓库文档页面、目录结构、搜索关键词
  • 仓库发现 - 推荐仓库、热门榜单、搜索代码库
  • AI 问答 - 向仓库 AI 助手提问(需 Token)
  • 文件获取 - 读取源代码文件内容(需 Token)

快速启动

uvx zread-mcp
npx zread-mcp

带 Token 运行

# uvx (Python)
uvx --env ZREAD_TOKEN=your-token zread-mcp

# npx (Node.js) - Windows
set ZREAD_TOKEN=your-token && npx zread-mcp

# npx (Node.js) - macOS/Linux
ZREAD_TOKEN=your-token npx zread-mcp

HTTP 模式 (Streamable HTTP)

uvx zread-mcp --transport http --port 3000
npx zread-mcp --transport http --port 3000

更多运行方式

Python 生态

# uvx 从 PyPI 运行(推荐)
uvx zread-mcp

# uvx 从 GitHub 仓库运行
uvx --from git+https://github.com/ejfkdev/zread-mcp.git zread-mcp

# uv 运行远程脚本
uv run https://raw.githubusercontent.com/ejfkdev/zread-mcp/main/zread_mcp_server.py

# pipx 从 GitHub 运行
pipx run --spec git+https://github.com/ejfkdev/zread-mcp.git zread-mcp

# pipx 安装到本地
pipx install git+https://github.com/ejfkdev/zread-mcp.git
zread-mcp --transport http

# 本地运行
python zread_mcp_server.py

Node.js 生态

# pnpm
pnpm dlx ejfkdev/zread-mcp

# bun
bunx ejfkdev/zread-mcp

# 全局安装
npm install -g ejfkdev/zread-mcp
zread-mcp-server --transport http

MCP 客户端配置

npx(Node.js)

{
  "mcpServers": {
    "zread": {
      "command": "npx",
      "args": ["-y", "zread-mcp-server"],
      "env": {
        "ZREAD_TOKEN": "your-token"
      }
    }
  }
}

uvx(Python)

{
  "mcpServers": {
    "zread": {
      "command": "uvx",
      "args": ["--env", "ZREAD_TOKEN=your-token", "zread-mcp"]
    }
  }
}

获取 Token

部分高级功能(AI 问答、文件获取)需要 ZREAD_TOKEN:

  1. 访问 https://zread.ai 并登录
  2. 按 F12 打开控制台
  3. 粘贴运行:
    prompt('复制token', JSON.parse(localStorage.getItem('CGX_AUTH_STORAGE')).state.token)
    
  4. 复制弹窗中的 Token

命令行参数

--transport {stdio,http,sse}  传输协议 (默认: stdio, http/sse 等价)
--host HOST                   HTTP 模式主机 (默认: 127.0.0.1)
--port PORT                   HTTP 模式端口 (默认: 3000)
--token TOKEN                 ZREAD_TOKEN
--no-token                    强制无 Token 模式
-h, --help                    显示帮助

工具列表

工具 需要 Token 说明
fetch_documentation_page 获取文档页面
search_documentation 搜索文档
get_documentation_outline 获取文档大纲
discover_repositories 发现推荐仓库
find_repositories 搜索仓库
get_trending_repositories 热门仓库榜单
check_repository_status 检查仓库状态
ask_repo_ai AI 智能问答
fetch_repository_file 获取源代码文件

开发

# 克隆仓库
git clone https://github.com/ejfkdev/zread-mcp.git
cd zread-mcp

# Python 测试
python zread_mcp_server.py --test

# Node.js 测试
node zread-mcp-server.js --test

许可证

MIT License

from github.com/ejfkdev/zread-mcp

Install Zread in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install zread-mcp

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add zread-mcp -- npx -y zread-mcp

FAQ

Is Zread MCP free?

Yes, Zread MCP is free — one-click install via Unyly at no cost.

Does Zread need an API key?

No, Zread runs without API keys or environment variables.

Is Zread hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Zread in Claude Desktop, Claude Code or Cursor?

Open Zread on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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