How to Use the TripGo MCP in Mastra AI

Q: How do I ensure TripGo works across different cities with mastra-ai?

You must start the workflow by calling getregions. This verifies that your specified city is supported before attempting any trip planning or stop searches, preventing failure downstream.

Q: What steps are required to confirm a specific stop location using TripGo and mastra-ai?

First, use searchstops by name. Then, pass the resulting ID into getstopdetails. This two-step process validates that the coordinates match the expected facilities.

Q: If I build a TripGo system with mastra-ai, what type of data does this server touch?

This MCP Server touches route names, stop IDs, and coordinates for all trip planning and location validation steps.

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Setup TripGo with Mastra AI

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Perplexity

Automate complex trip planning.

You can build a workflow that first checks available regions using `get_regions`. If successful, it then calls `plan_trip` to generate the itinerary. This handles multi-modal journeys (bus, train, walking) and returns step-by-step instructions. If the initial plan is too long, your agent can automatically run a secondary check with `get_route_info` to verify coverage before presenting the final option.

Verify stop details before confirming.

Use `search_stops` first to get a list of potential stops by name or address. Then, your agent can conditionally call `get_stop_details` for each candidate ID. This allows the workflow to verify if a stop has facilities like restrooms or accessibility features. The resulting data provides confidence in the final recommendation.

Track vehicle movements with fail-safes.

If real-time tracking is needed, your agent can call `get_vehicle_positions`. You can build retries into this step: if the initial position check fails or returns no data, the workflow automatically waits and tries again. This keeps the user from seeing a dead end. Alternatively, you can track scheduled times using `get_arrivals` to verify expected schedules.

Setup guide

Set up TripGo MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All TripGo tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "tripgo-mcp-client",
  servers: {
    "tripgo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "TripGo Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to TripGo tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent TripGo transactions"
);
console.log(result.text);

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Common questions about TripGo MCP in Mastra AI

You must start the workflow by calling `get_regions`. This verifies that your specified city is supported before attempting any trip planning or stop searches, preventing failure downstream.

Your agent can be configured for automatic retries. If the primary `plan_trip` call fails, it can try generating alternative trips by adjusting the travel time or preferred transport mode.

First, use `search_stops` by name. Then, pass the resulting ID into `get_stop_details`. This two-step process validates that the coordinates match the expected facilities.

Yes. You can chain actions: check region -> search stop by name -> get departures -> plan multimodal trip. The workflow engine handles the handoffs between these services.

This MCP Server touches **route names**, **stop IDs**, and **coordinates** for all trip planning and location validation steps.

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