Rappi API MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Rappi API through the 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 Rappi API, 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 Rappi API MCP Server
Empower your intelligent agents directly with Rappi API, the dominant delivery and logistics super-app bridging Latin America. Bypass chaotic consumer screens and deploy 10 robust tools natively automating restaurant queries, massive localized delivery management, and real-time courier tracking through any AI system magically.
The Vercel AI SDK gives every Rappi API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Logistics Control — Trace geographic rider coordinates, predict dynamic delivery fees, and seamlessly tip couriers natively without touching mobile interfaces.
- Order Placement — Query menu endpoints securely, push nested orders to specific merchant ID endpoints, and execute transactions automatically in the background.
- Customer Care Automation — Dispute missing items securely opening help tickets and communicating automatically via Support endpoints.
- Market Analysis — Poll local 'Turbo' supermarkets or pharmacies parsing active stock pricing to feed comparative database dashboards.
The Rappi API MCP Server exposes 10 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 Rappi API to Vercel AI SDK via MCP
Follow these steps to integrate the Rappi API 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 10 tools from Rappi API and passes them to the LLM
Why Use Vercel AI SDK with the Rappi API MCP Server
Vercel AI SDK provides unique advantages when paired with Rappi API 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 Rappi API integration everywhere
Built-in streaming UI primitives let you display Rappi API 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
Rappi API + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Rappi API MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Rappi API in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Rappi API tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Rappi API capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Rappi API through natural language queries
Rappi API MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Rappi API to Vercel AI SDK via MCP:
get_order_detail
Get full details for a specific order
get_order_handoff
Get handoff confirmation codes for an order
get_store_availability
Check availability status of a store
get_store_menu
Retrieve the full menu of a store
list_new_orders
List new incoming orders awaiting acceptance
list_stores
List all registered stores under your account
mark_ready_for_pickup
Signal that an order is ready for courier pickup
reject_order
Reject an incoming order with a reason
take_order
Accept and start preparing an incoming order
update_store_status
Open or close a store for receiving orders
Example Prompts for Rappi API in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Rappi API immediately.
"List nearby stores in the 'pharmacy' category around coordinates 4.6097, -74.0817."
"Check the delivery state and ETA for my active order number 8812920."
"Cancel the active order 88910 immediately citing missing items from the receipt."
Troubleshooting Rappi API MCP Server with Vercel AI SDK
Common issues when connecting Rappi API to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRappi API + Vercel AI SDK FAQ
Common questions about integrating Rappi API 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 Rappi API 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 Rappi API to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.