ReciPal MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ReciPal through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using ReciPal, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ReciPal MCP Server
Empower your AI agent to orchestrate your entire food manufacturing and recipe auditing workflow with ReciPal, the specialized source for nutritional labeling data. By connecting ReciPal to your agent, you transform complex ingredient analysis into a natural conversation. Your agent can instantly retrieve recipe details, audit calorie counts, and query ingredient lists without you ever touching a labeling portal. Whether you are conducting product research or managing regional dietary constraints, your agent acts as a real-time nutritional consultant, ensuring your data is always verified and precise.
The Vercel AI SDK gives every ReciPal tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Recipe Auditing — Retrieve high-resolution details for all recipes in your catalog, including names, calorie counts, and serving metadata.
- Ingredient Oversight — Audit the available ingredients in the ReciPal database to understand the thematic distribution of components instantly.
- Nutritional Intelligence — Query full nutritional breakdowns for specific recipes to assist in deep-dive dietary classification.
- Resource Discovery — Retrieve unique recipe identifiers to help you identify relevant markers for your food products.
- Operational Monitoring — Check API status to ensure your nutritional research workflow is always operational.
The ReciPal MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ReciPal to Vercel AI SDK via MCP
Follow these steps to integrate the ReciPal MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 4 tools from ReciPal and passes them to the LLM
Why Use Vercel AI SDK with the ReciPal MCP Server
Vercel AI SDK provides unique advantages when paired with ReciPal through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ReciPal integration everywhere
Built-in streaming UI primitives let you display ReciPal tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
ReciPal + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ReciPal MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ReciPal in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ReciPal tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ReciPal capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ReciPal through natural language queries
ReciPal MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect ReciPal to Vercel AI SDK via MCP:
check_api_status
Check if the ReciPal service is operational
get_recipe_details
Get full nutritional and ingredient details for a specific recipe by ID
list_recipal_ingredients
List all ingredients available in the ReciPal database
list_recipal_recipes
List all recipes in your ReciPal account
Example Prompts for ReciPal in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ReciPal immediately.
"List all my recipes using ReciPal."
"What are the details for recipe ID '12345'?"
"List all ingredients available in ReciPal."
Troubleshooting ReciPal MCP Server with Vercel AI SDK
Common issues when connecting ReciPal to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpReciPal + Vercel AI SDK FAQ
Common questions about integrating ReciPal MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect ReciPal with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ReciPal to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.