How to Use the Cabify MCP in Vercel AI SDK

Q: How do I connect the Cabify MCP Server to my Vercel AI SDK project?

Install @ai-sdk/mcp and create a client pointing to your Vinkius endpoint. Pass the tools directly into streamText or generateText to let your agent call Cabify actions.

Q: Can Vercel AI SDK handle Cabify booking cancellations?

Yes. The agent calls cancelride when a user cancels via your UI. It handles the request instantly, though corporate cancellation policies and fees still apply depending on the trip status.

Q: Does Vercel AI SDK support Cabify pricing estimates in regional currencies?

Yes. The getpriceestimate tool returns prices in the local currency of the pickup location. You will see EUR for trips in Spain and regional currencies for rides in LATAM.

Q: Can I stream live ETAs using this MCP Server?

Yes. By calling gettimeestimate within the Vercel AI SDK, you can stream live trip durations and traffic-adjusted arrival times directly to your user interface.

Book rides and track corporate travel in real-time by streaming Cabify actions directly to your UI with Vercel AI SDK.

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Connect Cabify MCP to Vercel AI SDK

Create your Vinkius account to connect Cabify to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cabify with Vercel AI SDK

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Compare Cabify tiers live in Vercel AI SDK

The `get_available_products` tool lets your agent check which Cabify service tiers are active at any given coordinate. Your UI streams these details—like car capacity and specific features—directly to the user's screen without making them wait for a full page reload. Combine this with `get_price_estimate` to show live cost comparisons in local currency, whether that is EUR in Spain or local currencies across LATAM. Because it runs on Vercel's edge network, the pricing data renders instantly as the agent fetches it.

Dispatch rides directly from your custom UI

The `request_ride` tool books a physical Cabify vehicle using exact origin and destination coordinates. It returns a ride ID, driver assignment status, and the estimated pickup time so your users know exactly when their car arrives. If plans change, the agent uses `cancel_ride` to stop the trip instantly before corporate fees kick in. Your interface updates the map and ride status in real-time by feeding `get_ride_details` responses straight into the Vercel AI SDK stream.

Manage corporate locations with this MCP Server

The `add_saved_location` tool writes new frequent destinations, like airports or regional offices, directly to your corporate Cabify account. This saves your team from typing out long, repetitive addresses every time they need to travel. Your agent can pull existing addresses with `get_saved_locations` and audit past travel expenses using `get_ride_history`. It displays complete trip logs—including dates, drivers, and exact costs—directly inside your custom admin dashboard.

Setup guide

Set up Cabify MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Cabify tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Cabify transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cabify. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about Cabify MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and create a client pointing to your Vinkius endpoint. Pass the tools directly into `streamText` or `generateText` to let your agent call Cabify actions.

Yes. The agent calls `cancel_ride` when a user cancels via your UI. It handles the request instantly, though corporate cancellation policies and fees still apply depending on the trip status.

Yes. The `get_price_estimate` tool returns prices in the local currency of the pickup location. You will see EUR for trips in Spain and regional currencies for rides in LATAM.

Yes. By calling `get_time_estimate` within the Vercel AI SDK, you can stream live trip durations and traffic-adjusted arrival times directly to your user interface.

Absolutely. All location coordinates, ride history, and billing costs are isolated within Vinkius's zero-trust V8 sandbox. This MCP server handles operations in memory and never stores your credentials on persistent disks.

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