food-mcp

food-mcp

An MCP server for food-related queries powered by MiniMax AI, enabling natural language interaction via a chat API.

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README

<div align="center"> <img width="1200" height="475" alt="GHBanner" src="https://ai.google.dev/static/site-assets/images/share-ais-513315318.png" /> </div>

Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/dee89d7d-7446-4459-acef-b9796574a70d

Run Locally

Prerequisites: Node.js

  1. Install dependencies: npm install
  2. Set the MINIMAX_API_KEY in .env.local to your MiniMax API key (model: MiniMax-M3, domain api.minimaxi.com)
  3. Run the app: npm run dev

Deploy to Cloudflare Pages (production)

The full-stack app (React frontend + the MiniMax chat API) is deployed to Cloudflare Pages:

  • Live site: https://food-mcp-app.pages.dev
  • API endpoint: https://food-mcp-app.pages.dev/api/agent/chat
  • MCP backend (Worker): https://mcd-mcp-server.leochenliu.workers.dev/mcp

Deployment steps:

  1. npm run build (builds the static frontend into dist/)
  2. npx wrangler pages project create food-mcp-app --production-branch main (one-time)
  3. npx wrangler pages secret put MINIMAX_API_KEY --project-name food-mcp-app (sets the model key)
  4. npx wrangler pages deploy dist --project-name food-mcp-app

The API is served by a Cloudflare Pages Function (functions/api/agent/chat.ts) that reuses the exact same orchestration logic as the local dev server (src/server/handleChat.ts), so cloud and local behavior stay identical. The Pages project config lives in the root wrangler.toml.

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