How to Use the ArcGIS MCP in Mastra AI

Build reliable spatial workflows in Mastra AI using professional-grade ArcGIS routing and logistics tools.

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Connect ArcGIS MCP to Mastra AI

Create your Vinkius account to connect ArcGIS 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 ArcGIS with Mastra AI

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Automated logistics in Mastra AI

Run `solve_vehicle_routing` within your Mastra agents to organize fleet stops efficiently. You define the orders as a JSON string, and the agent returns a optimized sequence. If the initial routing calculation encounters a bottleneck, your Mastra workflow engine triggers a retry. It keeps your logistics pipeline moving without manual oversight.

Spatial decision trees for Mastra AI

Use `calculate_od_matrix` as a conditional step in your agent workflows. Your agent decides the next action based on the travel time between specific coordinates. This setup allows for complex logic, like selecting the closest technician based on current drive time. It turns static data into an active part of your decision process.

Geospatial data validation for Mastra AI

Verify locations with `reverse_geocode` before updating your internal records. You ensure your agent is working with precise, ground-truth coordinates. The `find_address_country` tool acts as a filter in your workflow. It prevents your agents from processing out-of-bounds addresses, keeping your data clean.

Setup guide

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

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

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

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Common questions about ArcGIS MCP in Mastra AI

Add the server URL to your Mastra client configuration. Once defined, you spread the tools into your agent definition and call them in your workflow steps.

Absolutely. You can configure your Mastra workflow to automatically retry if a network request to the server times out or returns a transient error.

You can use the output of any tool to determine the next branch in your code. If a route distance exceeds a limit, your agent takes a different path.

Enable the tool approval setting in your client. Your agent will pause before executing sensitive operations until you confirm the action in the logs.

All spatial inputs are treated as volatile memory. The server architecture isolates your requests, ensuring that your location logs are never exposed to other tenants.

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