SPTrans Olho Vivo MCP Server for Mastra AIGive Mastra AI instant access to 13 tools to Get All Positions, Get Forecast, Get Forecast By Line, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect SPTrans Olho Vivo through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The SPTrans Olho Vivo MCP Server for Mastra AI is a standout in the Data Analytics category — giving your AI agent 13 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"sptrans-olho-vivo": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "SPTrans Olho Vivo Agent",
instructions:
"You help users interact with SPTrans Olho Vivo " +
"using 13 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with SPTrans Olho Vivo?"
);
console.log(result.text);
}
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and SPTrans Olho Vivo tool infrastructure. Connect 13 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI
When Mastra AI 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 all positions on SPTrans Olho Vivo
Get real-time GPS positions for all active buses
Get forecast on SPTrans Olho Vivo
Get arrival forecast for a specific stop and line
Get forecast by line on SPTrans Olho Vivo
Get arrival forecast for all stops on a specific line
Get forecast by stop on SPTrans Olho Vivo
Get arrival forecast for all lines arriving at a specific stop
Get positions by line on SPTrans Olho Vivo
Get real-time GPS positions for buses on a specific line
Get positions in garage on SPTrans Olho Vivo
Get real-time GPS positions for buses currently in the garage
List companies on SPTrans Olho Vivo
List bus operating companies by area
List corridors on SPTrans Olho Vivo
List all intelligent bus corridors in São Paulo
Search lines on SPTrans Olho Vivo
Search for bus lines by number or name
Search lines by direction on SPTrans Olho Vivo
Search for bus lines filtered by direction
Search stops on SPTrans Olho Vivo
Search for bus stops by name or address
Search stops by corridor on SPTrans Olho Vivo
Get all stops in a specific intelligent corridor
Search stops by line on SPTrans Olho Vivo
Get all stops for a specific bus line
Connect SPTrans Olho Vivo to Mastra AI via MCP
Follow these steps to wire SPTrans Olho Vivo into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the SPTrans Olho Vivo MCP Server
Mastra AI provides unique advantages when paired with SPTrans Olho Vivo through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add SPTrans Olho Vivo without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every SPTrans Olho Vivo tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
SPTrans Olho Vivo + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the SPTrans Olho Vivo MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query SPTrans Olho Vivo, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed SPTrans Olho Vivo as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query SPTrans Olho Vivo on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using SPTrans Olho Vivo tools alongside other MCP servers
Example Prompts for SPTrans Olho Vivo in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with SPTrans Olho Vivo immediately.
"Search for bus lines related to 'Lapa'."
"What are the arrival forecasts for stop code 650005666?"
"Show me the real-time positions of buses on line 33657."
Troubleshooting SPTrans Olho Vivo MCP Server with Mastra AI
Common issues when connecting SPTrans Olho Vivo to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSPTrans Olho Vivo + Mastra AI FAQ
Common questions about integrating SPTrans Olho Vivo MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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