How to Use the Navitia MCP in Mastra AI

Q: How does Navitia resolve transit station searches in Mastra AI?

The workflow uses searchplaces to resolve text queries into precise station IDs. Once the correct ID is verified, the Mastra AI agent passes it to subsequent tools to fetch schedules or plan routes.

Q: Can I filter transit lines by operator in my workflow?

Absolutely. The agent uses getlines to filter transit routes by their commercial mode and network operator, allowing your workflow to isolate specific bus or metro lines for analysis.

Build resilient transit workflows and automated disruption monitoring using Mastra AI and Navitia.

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Connect Navitia MCP to Mastra AI

Create your Vinkius account to connect Navitia to Mastra AI 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 Navitia with Mastra AI

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Automate transit disruption workflows with Mastra AI

The `get_disruptions` tool monitors active transit network alerts to trigger automated backup workflows. Public transit is messy, but your automated workflows don't have to be. You don't want minor delays breaking your system. The agent uses `get_networks` to identify affected operators and executes backup routing steps.

Resilient multimodal journey planning

The `plan_journey` tool coordinates trains, buses, and walking paths across European transit networks. Planning trips across Europe requires connecting multiple transit modes reliably. Complex transfers require precise timing. The agent calls `get_stop_schedule` to verify connection feasibility before confirming an itinerary.

Geographic analysis via Mastra AI workflows

The `get_isochrone` tool generates GeoJSON polygons to analyze transit accessibility within Mastra AI workflows. Urban planning tasks require deep geographic data processing. Validating coverage before running analysis prevents wasted API calls. The agent runs `get_coverage` first to ensure the target city is supported before proceeding with deeper spatial queries.

Setup guide

Set up Navitia 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 Navitia 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: "navitia-mcp-client",
  servers: {
    "navitia-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Navitia MCP in Mastra AI

You can configure a Mastra AI workflow that runs on a cron schedule to query `get_disruptions` for specific regions. If the agent detects a major service alert, it triggers a workflow branch to notify affected travelers.

Yes, Mastra AI's workflow engine has built-in retry mechanisms with exponential backoff. When tools like `get_departures` or `get_arrivals` hit API rate limits, the MCP client automatically pauses and retries the request.

The workflow uses `search_places` to resolve text queries into precise station IDs. Once the correct ID is verified, the Mastra AI agent passes it to subsequent tools to fetch schedules or plan routes.

Absolutely. The agent uses `get_lines` to filter transit routes by their commercial mode and network operator, allowing your workflow to isolate specific bus or metro lines for analysis.

All coordinate data, station IDs, and transit schedules queried by your agent are processed inside this MCP server's ephemeral Vinkius sandbox. No transit data is persisted, ensuring that your users' travel history and location coordinates remain completely confidential.

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