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How to Use the IndoorAtlas (Indoor Positioning) MCP in Mastra AI

Build resilient location workflows with Mastra AI and the IndoorAtlas (Indoor Positioning) MCP Server.

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Connect IndoorAtlas (Indoor Positioning) MCP to Mastra AI

Create your Vinkius account to connect IndoorAtlas (Indoor Positioning) 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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Mastra AI automated venue deployment

Chain your deployment steps using `create_venue` and `upload_floorplan_geojson` within a Mastra workflow. If an upload fails, you can define a retry policy to ensure the floorplan lands correctly. This setup allows for consistent site provisioning. You handle the logic of linking a new facility to its positioning data without manual intervention or oversight.

Positioning session analysis in Mastra AI

Use `list_positioning_sessions` to trigger automated audits of your facility traffic. Mastra AI can parse these sessions to identify dwell time patterns or path bottlenecks automatically. When a session finishes, the agent can fetch the full trace with `get_session_data`. This gives you the raw metrics needed to judge if your current radio map is performing as expected.

Conditional radio map maintenance

Detect calibration gaps by running `get_fingerprint_paths` and comparing the results against your floorplan area. If coverage is low, the workflow can alert a technician to walk the site again. Once the new data is captured, trigger the update using `trigger_map_generation`. The system handles the asynchronous wait time, only moving to the next workflow step once the map is ready.

Setup guide

Set up IndoorAtlas (Indoor Positioning) 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 IndoorAtlas (Indoor Positioning) 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: "indooratlas-indoor-positioning-mcp-client",
  servers: {
    "indooratlas-indoor-positioning-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent IndoorAtlas (Indoor Positioning) 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 IndoorAtlas. 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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Common questions about IndoorAtlas (Indoor Positioning) MCP in Mastra AI

Register the server URL in your Mastra MCP client configuration. Once added, you can call tools like `list_venues` directly within your agent tasks.
You can build a workflow that identifies incomplete maps via `list_floorplans` and then prompts a technician to re-calibrate. The system automates the detection, but physical re-calibration requires human effort.
Yes, you can wrap any tool call in a retry block. If `trigger_map_generation` times out, Mastra AI will attempt to re-initiate the request based on your defined policy.
Track your tool calls in the logs provided by the framework. You can see exactly which session data was fetched and when your venues were created.
The server operates inside an ephemeral V8 sandbox that wipes state between sessions. It only exposes the specific venue metadata and coordinate logs you explicitly request, keeping your facility coordinates secure.

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