# github-mcp-connector

> github-mcp-connector — ferhatdundar-github-mcp-connector. Use this tool when you need to integrate GitHub operations into your workflow, enabling agents to read and write GitHub data such as repositories, issues, and pull requests. It solves problems of data synchronization and automation by providing a simple interface to GitHub functionality. The tool takes GitHub API inputs and outputs MCP-compatible data, making it ideal for use cases that require seamless interaction with GitHub repositories and data.

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

## Description

A single static Go binary that exposes GitHub operations (repos, branches, commits, file contents, issues, PRs, and search) as MCP tools, enabling agents to read and write GitHub data with no runtime dependencies.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wltwc5p4qb)
- **Repository:** <https://github.com/FerhatDundar/github-mcp-connector>

## 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": "ferhatdundar-github-mcp-connector"
    }
  }
}
```

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