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How to Use the Mapflow MCP in Mastra AI

Build reliable geospatial workflows in Mastra AI with automatic retries and conditional logic for satellite analysis.

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…and any MCP-compatible client

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Mastra AI

Connect Mapflow MCP to Mastra AI

Create your Vinkius account to connect Mapflow 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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Automated geospatial pipeline recovery

Mastra AI agents use `create_processing` to initiate extraction. If a job fails due to a network hiccup, the framework automatically retries the call with exponential backoff. This ensures your city-scale analysis doesn't stop because of a minor connection drop. You get a consistent flow of vector data even when the underlying infrastructure hits a snag.

Conditional branching for imagery analysis

Set up workflows that check `get_processing_status` before moving to the next step. If the status returns an error, the agent can pivot to a different model using `list_models`. You define the logic once. The agent handles the decision-making process based on the real-time feedback from the processing server.

Human-in-the-loop validation

Configure your agents to require approval before finalizing a job result with `get_processing_result`. This prevents bad geospatial data from entering your production GIS database. It adds a layer of safety to your automation. You review the output, click approve, and the workflow continues without manual intervention.

Setup guide

Set up Mapflow 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

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

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mapflow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Built-in savings

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Single dashboard

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Mapflow MCP in Mastra AI

Pass the Mapflow server URL into the MCP client configuration in your Mastra project. The framework will automatically detect and register all seven tools for your agents to use.
You can call `list_projects` to keep track of every active analysis. This lets your agents coordinate work across different geographic regions simultaneously.
Yes. Mastra has built-in retry logic that works perfectly with the Mapflow server. If a network call fails, the agent will attempt to re-establish the connection automatically.
The Mapflow server processes your raw images in an isolated environment. It only returns the resulting vector data to your agent, keeping your storage footprint minimal.
Vinkius manages your server access with strict token-based authentication. Your geospatial datasets are kept separate from other users and are never exposed to third parties.

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