# zread-mcp

> Use this tool when you need to access and interact with GitHub repository documents and code, or require AI assistance from repository AI. It connects AI agents to the Zread.ai documentation platform, enabling document reading, code searching, and interaction with repository AI. Ideal for use cases where AI agents require external knowledge or codebase access to provide accurate and informed responses.

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

## Description

Connects to the Zread.ai documentation platform, enabling AI assistants to read GitHub repository documents, search code, and interact with repository AI.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/awrtf569q2)
- **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": "ejfkdev-zread-mcp"
    }
  }
}
```

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

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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