# Gread

> Use this tool when you need to access and utilize the source code of public GitHub repositories for AI-driven development, documentation, and coding tasks. It solves problems related to code discovery, documentation, and integration with coding agents and MCP clients. Gread provides input through GitHub repository access and outputs compatible data for coding agents and MCP clients.

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

## Description

Provides AI agents with access to source code of all public GitHub repos, with integration for docs repos and compatibility with coding agents and MCP clients.

## Trust

- **Trust score (0–1):** 0.67
- **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:** [Glama](https://glama.ai/mcp/servers/b7axwgjb0l)
- **Repository:** <https://github.com/NitroRCr/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": "nitrorcr-gread"
    }
  }
}
```

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