# Gread

> Use this tool when you need to access a vast library of open-source code for AI training or reference, as it provides instant access to the source code of all public GitHub repositories. Gread solves problems related to code discovery, research, and integration, offering a plug-and-play solution compatible with popular coding agents and MCP clients. It accepts repository requests as input and outputs the corresponding source code, along with integrated documentation when available.

Canonical page: https://skillsregistry.net/skills/nitrofire-q-gread  
JSON: https://api.skillsregistry.net/v1/skills/nitrofire-q-gread

## Description

Gives your AI access to the source code of all public github repos.

- Plug and Play: Compatible with all popular coding agents and MCP clients, ready to use out of the box
- Skill and MCP: Both Skill and MCP are provided, connect with either option
- Docs Integration: Automatically recognizes docs repo and provides them along with the main repo when accessed

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/nitrofire-q/gread)

## 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": "nitrofire-q-gread"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nitrofire-q-gread` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nitrofire-q-gread/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
