# io.github.ejfkdev/zread-mcp

> Use this tool when you need to connect AI assistants to GitHub repository documentation, enabling them to read documents, search code, and converse with repository AI. It solves problems of AI accessibility to GitHub repositories, providing a seamless interface for AI agents to interact with repository content. This tool takes GitHub repository data as input and outputs conversational AI responses, ideal for use cases requiring AI-driven documentation analysis and code search.

Canonical page: https://skillsregistry.net/skills/io-github-ejfkdev-zread-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-ejfkdev-zread-mcp

## Description

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。

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-04-21

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ejfkdev%2Fzread-mcp)
- **Repository:** <https://github.com/ejfkdev/zread-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-ejfkdev-zread-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-ejfkdev-zread-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-ejfkdev-zread-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt