food-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@food-mcpWhat's a good recipe for vegetarian lasagna?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Install dependencies:
npm installSet the
MINIMAX_API_KEYin .env.local to your MiniMax API key (model:MiniMax-M3, domainapi.minimaxi.com)Run the app:
npm run dev
Related MCP server: foodvisor-mcp
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:
npm run build(builds the static frontend intodist/)npx wrangler pages project create food-mcp-app --production-branch main(one-time)npx wrangler pages secret put MINIMAX_API_KEY --project-name food-mcp-app(sets the model key)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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