Zread Mcp
Connects Claude to Zread.ai, a documentation platform for GitHub repositories. You get nine tools split between public operations (fetch docs pages, search documentation, discover trending repos, check repository status) and token-gated features (ask the repository AI assistant questions, fetch raw source files). The public tools are useful for browsing indexed repos and their generated documentation. The AI chat and file access require grabbing a token from Zread.ai's localStorage after logging in. Ships as both Python and Node.js implementations, runnable via uvx or npx without installation. Reach for this when you want Claude to navigate repository documentation or query Zread's AI summaries of codebases instead of hitting GitHub's API directly.
- GitHub stars
- 2
- tools
- 9
- auth
- Secret needed
- transport
- STDIO
- env var
- 1
- last updated
- Mar 13, 2026
Tools
9 toolsPublic tool metadata for what this MCP can expose to an agent.
fetch_documentation_page获取文档页面
获取文档页面
No parameter schema in public metadata yet.
search_documentation搜索文档
搜索文档
No parameter schema in public metadata yet.
get_documentation_outline获取文档大纲
获取文档大纲
No parameter schema in public metadata yet.
discover_repositories发现推荐仓库
发现推荐仓库
No parameter schema in public metadata yet.
find_repositories搜索仓库
搜索仓库
No parameter schema in public metadata yet.
get_trending_repositories热门仓库榜单
热门仓库榜单
No parameter schema in public metadata yet.
check_repository_status检查仓库状态
检查仓库状态
No parameter schema in public metadata yet.
ask_repo_aiAI 智能问答
AI 智能问答
No parameter schema in public metadata yet.
fetch_repository_file获取源代码文件
获取源代码文件
No parameter schema in public metadata yet.
Sponsors
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ZREAD_TOKENsecretYour API key for the service
Readme
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
Details
- Repository
- github.com/ejfkdev/zread-mcp
- Category
- Developer Tools
- Package
zread-mcp- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active
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