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Zread.ai MCP Server - 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。
Zread.ai MCP Server - 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。
Valid MCP server (1 strong, 2 medium validity signals). 13 known CVEs in dependencies (1 critical, 5 high severity) Package registry verified. Imported from the Official MCP Registry.
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Set these up before or after installing:
Environment variable: ZREAD_TOKEN
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-ejfkdev-zread-mcp": {
"env": {
"ZREAD_TOKEN": "your-zread-token-here"
},
"args": [
"-y",
"zread-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
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
npx或uvx一行命令运行。核心功能包括文档查询、仓库搜索、AI 问答。
uvx zread-mcp
npx zread-mcp
# 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
uvx zread-mcp --transport http --port 3000
npx zread-mcp --transport http --port 3000
# 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
# 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
{
"mcpServers": {
"zread": {
"command": "npx",
"args": ["-y", "zread-mcp-server"],
"env": {
"ZREAD_TOKEN": "your-token"
}
}
}
}
{
"mcpServers": {
"zread": {
"command": "uvx",
"args": ["--env", "ZREAD_TOKEN=your-token", "zread-mcp"]
}
}
}
部分高级功能(AI 问答、文件获取)需要 ZREAD_TOKEN:
prompt('复制token', JSON.parse(localStorage.getItem('CGX_AUTH_STORAGE')).state.token)
--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 | 需要 Token | 说明 |
|---|---|---|
| fetch_documentation_page | 否 | 获取文档页面 |
| search_documentation | 否 | 搜索文档 |
| get_documentation_outline | 否 | 获取文档大纲 |
| discover_repositories | 否 | 发现推荐仓库 |
| find_repositories | 否 | 搜索仓库 |
| get_trending_repositories | 否 | 热门仓库榜单 |
| check_repository_status | 否 | 检查仓库状态 |
| ask_repo_ai | 是 | AI 智能问答 |
| fetch_repository_file | 是 | 获取源代码文件 |
# 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
MIT License
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