# github-mcp

> github-mcp — aniketsingh98571-github-mcp. Use this tool when you need to manage and control machine learning models on GitHub, solving versioning and collaboration problems for data science projects. It provides an interface for tracking model changes, with inputs including model updates and outputs such as version-controlled models. Utilize github-mcp in data science workflows to streamline model development and deployment.

Canonical page: https://skillsregistry.net/skills/aniketsingh98571-github-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aniketsingh98571-github-mcp

## Description

GitHub MCP (Model Control Protocol)

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/aniketsingh98571/github-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": "aniketsingh98571-github-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aniketsingh98571-github-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aniketsingh98571-github-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