# demo-github

> demo-github — attacker-code-mcpforge-demo-github. Use this tool when you need to manage GitHub repositories using natural language, connecting to the GitHub API to list and create issues, comment on issues, and list pull requests with diff summaries. It solves problems of repository management, issue tracking, and collaboration, providing inputs such as natural language commands and outputs like issue lists and pull request summaries. Ideal for use in development workflows, it enables seamless integration with MCP-compatible clients.

Canonical page: https://skillsregistry.net/skills/attacker-code-mcpforge-demo-github  
JSON: https://api.skillsregistry.net/v1/skills/attacker-code-mcpforge-demo-github

## Description

MCP server that connects to the GitHub API to list and create issues, comment on issues, and list pull requests with diff summaries. It enables natural language management of GitHub repositories from MCP-compatible clients.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nbpdwd2dql)
- **Repository:** <https://github.com/attacker-code/mcpforge-demo-github>

## 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": "attacker-code-mcpforge-demo-github"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/attacker-code-mcpforge-demo-github` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/attacker-code-mcpforge-demo-github/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