What is Model Context Protocol (MCP)?
MCP is an open protocol that standardizes how applications provide context to LLMs, like a USB-C port for AI applications. It provides a standardized way to connect AI models to different data sources and tools.
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基本情報
Let the grumpy senior dev review your code with this MCP server
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"grumpydev-mcp": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/inspector"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
This MCP server provides automated code reviews delivered with the sarcastic, cynical tone of a grumpy senior developer. It is designed for developers who want to review pull requests or get critical feedback on code, offering the same perspective as a seasoned (and grumpy) team member.
Requires Node.js 20+. You can install it for GitHub Copilot in VS Code or VS Code Insiders via the provided install links, command line (code --add-mcp or code-insiders --add-mcp), or by adding it manually to .vscode/mcp.json. For Claude desktop, add it to claude_desktop_config.json. To test, use MCP Inspector with npx -y grumpydev-mcp as the command and arguments. Optionally set the model via the GENAISCRIPT_DEFAULT_MODEL environment variable.
npx execution.MCP is an open protocol that standardizes how applications provide context to LLMs, like a USB-C port for AI applications. It provides a standardized way to connect AI models to different data sources and tools.
Node.js 20+ must be installed on your system. The server is run via `npx -y grumpydev-mcp` without additional installation steps.
Set the `GENAISCRIPT_DEFAULT_MODEL` environment variable with a provider and model name (e.g., `github:gpt-4o`). Default is GitHub Models with GPT-4o. See GenAIScript documentation for supported providers and additional configuration.
The server runs locally via stdio transport. While the model inference may use external AI services (depending on your model configuration), the code is processed locally before being sent to the model.
The server uses stdio transport. No built-in authentication; it is designed for local use with tools like VS Code and Claude Desktop.
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