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PopNx MCPMCP servers for people who use AI · explained in plain words

Zread MCP

by ejfkdevversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.ejfkdev/zread-mcp

Install

Overview

Description from the maker (original English)

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。

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools
  • You need to fill in: ZREAD_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: ZREAD_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add zread --env ZREAD_TOKEN=your-value -- npx -y zread-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "zread": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "zread-mcp"
      ],
      "env": {
        "ZREAD_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • ZREAD_TOKEN secret env
    Your API key for the service

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ejfkdev, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1390 servers in this category
  • Published to the registry more recently than 10% of the other 1390 servers in this category
  • Basic checks equal to or better than 100% of the other 1390 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Zread MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: ZREAD_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
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Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 15 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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。

💡 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。

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)
  1. 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

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

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