How to Use the Radar MCP in Mastra AI

Q: Can I require human approval before Mastra AI triggers a Radar geofence action?

Yes, use the requireToolApproval option in Mastra AI when running searchgeofences. This pauses the workflow and alerts an operator before any boundary-based actions are executed.

Q: How does Mastra AI connect to the Radar MCP Server?

Install @mastra/mcp and instantiate the MCP client with the Vinkius SSE endpoint. Spread the tools directly into your Mastra agent configuration so it can immediately access searchplaces.

Build resilient, branchable location workflows using Mastra AI and the Radar MCP Server.

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Connect Radar MCP to Mastra AI

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Setup Radar with Mastra AI

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Resilient Geocoding Workflows with Mastra AI

Mastra AI lets you build multi-step location workflows that don't fall apart when an API call fails. If `forward_geocode` misses an address due to a formatting error, you can branch the workflow to try `validate_address` first and then retry the coordinate lookup automatically. The framework's built-in exponential backoff ensures that temporary network hiccups during `reverse_geocode` calls won't crash your system. Your agent simply pauses, retries, and continues executing its routing logic.

Automated Geofence Escalation Workflows

Build autonomous dispatch rules by combining Mastra AI workflows with `search_geofences`. When a driver enters a specific boundary, the workflow triggers, evaluates the geofence context, and decides whether to alert operations. You can integrate `get_location_context` directly into these decision trees. If the weather or zone status changes, the agent branches to alternative routing, ensuring your logistics logic adapts without human intervention.

Fail-Safe Routing Matrix Generation

Generating massive distance tables can strain rate limits, but Mastra AI handles this by managing execution queues for `calculate_routing_matrix`. The workflow engine pauses or splits large origin-destination pairs to keep your API usage within safe bounds. If a specific route calculation fails, the agent uses `calculate_route_distance` as a fallback option. This guarantees your backend always gets a valid distance estimate even during complex bulk routing tasks.

Setup guide

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

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

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

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Common questions about Radar MCP in Mastra AI

You can configure Mastra AI's workflow engine with explicit retry blocks around `calculate_route_distance`. If the API returns a rate limit error, the workflow automatically backs off and retries.

Yes, use the `requireToolApproval` option in Mastra AI when running `search_geofences`. This pauses the workflow and alerts an operator before any boundary-based actions are executed.

Install `@mastra/mcp` and instantiate the MCP client with the Vinkius SSE endpoint. Spread the tools directly into your Mastra agent configuration so it can immediately access `search_places`.

Yes, Mastra AI's workflow engine supports parallel step execution. You can run `validate_address` and `ip_geocode` simultaneously, combining the results into a single payload for your agent.

All physical addresses processed by this MCP Server are handled in ephemeral V8 isolates. No location history is cached on Vinkius, ensuring your logistics data remains strictly within your Mastra AI execution context.

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