AI-powered CLI and MCP server for browsing GitHub project documentation without manual source diving.
zread is easy to set up with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view ejfkdev/zread --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Zread is a tool that helps you and your AI assistant understand codebases faster. You can browse documentation, search code, and ask questions about any GitHub repository directly from your terminal. It connects to an AI service to provide answers based on repository docs.
Zread is an AI-powered CLI and MCP (Model Context Protocol) server that simplifies exploring GitHub repositories. It allows developers to browse documentation, search code, discover trending repositories, and export docs locally. With MCP integration, it connects seamlessly with AI assistants like Claude and Cline, enabling AI Q&A based on repository documentation. It supports multiple transports (stdio, HTTP, SSE) and requires no GitHub token for basic browsing. The tool is designed for zero-friction startup—just one command to run. It also offers AI Q&A features that require a free account token from Zread.ai. Zread is ideal for developers who want to quickly understand unfamiliar codebases without manually reading through source files.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 64 days ago.
25 GitHub stars indicate community interest.
1 open issues signal maintenance load.
MIT license detected.
Browse documentation of any GitHub repository directly from the terminal.
Search for keywords across repository documentation to find relevant information.
Ask AI questions about a repository's codebase and get answers based on its documentation.
Export repository documentation locally for offline reference or AI context.
Integrate with AI assistants like Claude to provide repository-aware answers.
AI Q&A feature requires a free account token from Zread.ai; data may be sent to external servers.
No authentication is required for basic browsing, but repository data is fetched from public GitHub APIs.
25
Stars
5
Forks
1
Issues
MIT
License
Optimize markdown documentation for LLMs and RAG systems, reducing token consumption by 67-95%.
Codebase intelligence layer for AI coding agents: code health, git analytics, dead code detection, and architectural decisions via MCP.
Turn OpenAPI, MCP, Doxygen, godoc, rustdoc, and Markdown into static documentation sites you own.
AI-powered CLI and MCP server for browsing GitHub project documentation without manual source diving.
Developers who need to quickly understand unfamiliar codebases., AI assistant users who want to ground AI responses in repository documentation., Open source contributors exploring new projects.
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
AI Q&A feature requires a free account token from Zread.ai; data may be sent to external servers. No authentication is required for basic browsing, but repository data is fetched from public GitHub APIs.
Similar or complementary options to evaluate include llm-docs-builder, repowise, sourcey.
Jun 7, 2026
2 security/trust notes recorded.
Setup difficulty is 1/5.