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SPTrans Olho Vivo MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 13 tools to Get All Positions, Get Forecast, Get Forecast By Line, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SPTrans Olho Vivo through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The SPTrans Olho Vivo MCP Server for Vercel AI SDK is a standout in the Data Analytics category — giving your AI agent 13 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
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 SPTrans Olho Vivo, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
SPTrans Olho Vivo
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High SecurityEnterprise-grade
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EU AI ActCompliant
DLPData protection
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Ed25519Audit chain
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 SPTrans Olho Vivo MCP Server

Connect to the SPTrans Olho Vivo API to bring real-time urban mobility intelligence to your AI agent. Monitor the entire São Paulo bus fleet and provide precise transit information through natural conversation.

The Vercel AI SDK gives every SPTrans Olho Vivo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 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

  • Line & Stop Discovery — Search for bus lines by name or number and find specific stops by address or corridor.
  • Real-time GPS Tracking — Fetch the exact coordinates of active buses on any given line or across the entire city fleet.
  • Arrival Forecasts — Get accurate predictions for when the next bus will arrive at a specific stop or for all stops along a route.
  • Corridor & Company Info — List intelligent bus corridors and operating companies to understand the city's transit infrastructure.
  • Garage Status — Monitor vehicles currently in the garage for specific companies and lines.

The SPTrans Olho Vivo MCP Server exposes 13 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 13 SPTrans Olho Vivo tools available for Vercel AI SDK

When Vercel AI SDK connects to SPTrans Olho Vivo through Vinkius, your AI agent gets direct access to every tool listed below — spanning public-transit, real-time-tracking, gps-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get all positions on SPTrans Olho Vivo

Get real-time GPS positions for all active buses

get

Get forecast on SPTrans Olho Vivo

Get arrival forecast for a specific stop and line

get

Get forecast by line on SPTrans Olho Vivo

Get arrival forecast for all stops on a specific line

get

Get forecast by stop on SPTrans Olho Vivo

Get arrival forecast for all lines arriving at a specific stop

get

Get positions by line on SPTrans Olho Vivo

Get real-time GPS positions for buses on a specific line

get

Get positions in garage on SPTrans Olho Vivo

Get real-time GPS positions for buses currently in the garage

list

List companies on SPTrans Olho Vivo

List bus operating companies by area

list

List corridors on SPTrans Olho Vivo

List all intelligent bus corridors in São Paulo

search

Search lines on SPTrans Olho Vivo

Search for bus lines by number or name

search

Search lines by direction on SPTrans Olho Vivo

Search for bus lines filtered by direction

search

Search stops on SPTrans Olho Vivo

Search for bus stops by name or address

search

Search stops by corridor on SPTrans Olho Vivo

Get all stops in a specific intelligent corridor

search

Search stops by line on SPTrans Olho Vivo

Get all stops for a specific bus line

Connect SPTrans Olho Vivo to Vercel AI SDK via MCP

Follow these steps to wire SPTrans Olho Vivo into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 13 tools from SPTrans Olho Vivo and passes them to the LLM

Why Use Vercel AI SDK with the SPTrans Olho Vivo MCP Server

Vercel AI SDK provides unique advantages when paired with SPTrans Olho Vivo through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same SPTrans Olho Vivo integration everywhere

03

Built-in streaming UI primitives let you display SPTrans Olho Vivo tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

SPTrans Olho Vivo + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the SPTrans Olho Vivo MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query SPTrans Olho Vivo in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate SPTrans Olho Vivo tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed SPTrans Olho Vivo capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with SPTrans Olho Vivo through natural language queries

Example Prompts for SPTrans Olho Vivo in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SPTrans Olho Vivo immediately.

01

"Search for bus lines related to 'Lapa'."

02

"What are the arrival forecasts for stop code 650005666?"

03

"Show me the real-time positions of buses on line 33657."

Troubleshooting SPTrans Olho Vivo MCP Server with Vercel AI SDK

Common issues when connecting SPTrans Olho Vivo to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

SPTrans Olho Vivo + Vercel AI SDK FAQ

Common questions about integrating SPTrans Olho Vivo MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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