What are the system dependencies?
Node.js is required. The server uses npm for package management and a build step.
@starbuck93
基本情報
A Model Context Protocol (MCP) server for interacting with Tandoor Recipe Manager.
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": {
"tandoor": {
"command": "node",
"args": [
"path/to/tandoor-mcp-server/build/index.js"
],
"env": {
"TANDOOR_URL": "https://your-tandoor-instance.com",
"TANDOOR_API_TOKEN": "your-api-token"
},
"disabled": false,
"autoApprove": []
}
}
}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 Model Context Protocol (MCP) server that enables AI assistants to interact with a Tandoor Recipe Manager instance. It provides tools for managing recipes, meal plans, and shopping lists.
Install dependencies (npm install), build the server (npm run build), set the TANDOOR_URL and TANDOOR_API_TOKEN environment variables, and run node build/index.js. Then configure the server in your MCP settings file with the command, args, and env variables.
Node.js is required. The server uses npm for package management and a build step.
Set the `TANDOOR_API_TOKEN` environment variable to a valid API token from your Tandoor instance.
It communicates over standard input/output (stdio) using the Model Context Protocol. No network port is exposed.
Yes, a test script is included. Run `npm run test` after setting your API token to verify tool functionality.
The README lists all tools as candidates for `autoApprove` in the MCP settings, including recipe and meal plan creation, retrieval, and shopping list management.

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