GitHub MCP Server

@geropl

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作者

geropl

GitHub MCP Server について

Model Context Protocol (MCP) server for GitHub based on mcp-go

GitHub MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

GitHub MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is GitHub MCP Server?

A Model Context Protocol (MCP) server for GitHub, implemented in Go. It allows LLMs to interact with GitHub repositories, issues, pull requests, and other resources through a standardized interface, making it suitable for AI assistants and automation tools.

How to use GitHub MCP Server?

Install a pre-built binary or build from source (Go 1.23+). Set the GITHUB_PERSONAL_ACCESS_TOKEN environment variable. Run ./github-mcp-go setup to automatically configure the server for Cline or Claude Desktop, optionally with --write-access and --auto-approve flags. Then run ./github-mcp-go serve (or serve --write-access) to start the server.

Key features of GitHub MCP Server

Comprehensive GitHub API access via 40+ tools
One‑command setup for Cline and Claude Desktop
Write access disabled by default for safety
Fine‑grained auto‑approval of tools
Pre‑built binaries for Linux, macOS, and Windows

Use cases of GitHub MCP Server

Search repositories and retrieve file contents
Create, update, and comment on issues
Manage pull requests, branches, and commits
Trigger and inspect GitHub Actions workflows
Fork repositories and push multiple files in a single commit

よくある質問

What is required to use this server?

A GitHub Personal Access Token, a pre‑built binary or Go 1.23+ to build from source, and an MCP‑compatible AI assistant (e.g., Cline, Claude Desktop).

How do I enable write access?

Write access is disabled by default. Pass the `--write-access` flag to `serve` or to `setup` to allow tools that modify remote repositories.

Can I auto‑approve specific tools?

Yes. Use the `--auto-approve` flag with a comma‑separated list of tool names, or the special value `allow-read-only` to auto‑approve all read‑only tools.

Which platforms are supported?

Pre‑built binaries are available for Linux, macOS, and Windows, each with both amd64 and arm64 architectures.

How do I set up the server for an AI assistant?

Run `./github-mcp-go setup --tool cline` or `--tool claude-desktop`. The command copies the binary to a stable location and updates the assistant’s MCP configuration.