What are the system dependencies?
Node.js is required. The server uses npm for package management and a build step.
@starbuck93
基本信息
A Model Context Protocol (MCP) server for interacting with Tandoor Recipe Manager.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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": []
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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