What prerequisites are needed?
Node.js 18+, Aider installed and available in PATH (`pip install aider-chat`), and an OpenAI API key.
@larock22
基本情報
WebSocket server that exposes Aider's AI coding capabilities through the Model Context Protocol (MCP) for programmatic access
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": {
"aider-mcp": {
"command": "python3",
"args": [
"test-debug.py"
]
}
}
}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。
A real MCP (Model Context Protocol) server that lets you control Aider programmatically via WebSocket, wrapping Aider’s functionality for use by editor plugins and services. It provides two server implementations: a standard MCP protocol server (recommended) and a custom WebSocket wrapper. It is for developers who want to send natural language commands to Aider from any MCP-compatible client, like Claude Desktop or custom apps.
Install dependencies with npm install, copy .env.example to .env and add your OpenAI API key. Start the recommended MCP server with npm run mcp, then connect via WebSocket using JSON-RPC 2.0. The server exposes tools such as aider_command, aider_add_file, and aider_run_command. Client code examples for WebSocket connection and tool calls are provided in the README.
Node.js 18+, Aider installed and available in PATH (`pip install aider-chat`), and an OpenAI API key.
Each client gets an isolated workspace directory and a separate Aider process, ensuring session separation.
The custom WebSocket wrapper supports token-based authentication via the `VALID_TOKENS` environment variable (empty means no auth). The MCP server does not mention authentication.
Files are saved in directories under `workspaces/`, e.g., `workspaces/mcp-*/`. You can check them with `ls -la workspaces/`.
The MCP server includes smart completion detection that waits for Aider to finish (using a 3-second silence detection), solving the problem of premature responses.

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