How to Use the DataScope MCP in Mastra AI

Q: How do I register the DataScope MCP Server in Mastra AI?

You initialize new MCPClient with the server URL and spread the returned tools into your agent's tool array. Mastra handles the underlying transport protocol automatically.

Q: How does human-in-the-loop work with DataScope and Mastra AI?

You can enable the requireToolApproval flag on your Mastra agent configuration. This pauses the execution whenever the agent attempts to fetch or modify sensitive field submission data.

Q: Can I filter forms by specific users?

Yes, you can use listformsubmissions to filter answers by user ID. This allows your agent to construct specialized reports for individual inspectors.

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Setup DataScope with Mastra AI

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Automate field inspection approvals with Mastra AI

The `get_submissions_with_metadata` tool pulls detailed audit logs from your field operations. This allows your Mastra AI agent to inspect the metadata and decide whether to trigger an approval workflow. If an inspection fails, Mastra's workflow engine can automatically retry the verification steps. You can set up `requireToolApproval` to ensure a human signs off before the agent updates any record.

Sync offline DataScope forms using Mastra workflows

The `list_available_forms` tool identifies which templates are currently active for your offline field workers. This helps your Mastra AI agent monitor if the correct forms are synced to the field. You register this MCP Server by instantiating `new MCPClient` and spreading the discovered tools directly into your agent definition. If a network glitch occurs during sync, Mastra handles the exponential backoff automatically.

Map field user assignments dynamically

The `list_organization_users` tool exposes your entire team directory to your Mastra AI workflows via this MCP integration. This makes it simple to assign specific forms to newly registered inspectors in the field. The agent matches user profiles with active locations using the coordinates retrieved by the server. It then deploys this routing logic to your cloud provider with a single command.

Setup guide

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

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

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

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Common questions about DataScope MCP in Mastra AI

You initialize `new MCPClient` with the server URL and spread the returned tools into your agent's tool array. Mastra handles the underlying transport protocol automatically.

Yes, Mastra has a built-in workflow engine that handles automatic retries with exponential backoff. If the `get_submissions_with_metadata` tool fails due to a rate limit, the workflow pauses and retries.

You can enable the `requireToolApproval` flag on your Mastra agent configuration. This pauses the execution whenever the agent attempts to fetch or modify sensitive field submission data.

Yes, you can use `list_form_submissions` to filter answers by user ID. This allows your agent to construct specialized reports for individual inspectors.

Mastra does not persist your organization's user lists or field inspector profiles. All credentials and user directory data fetched via the `list_organization_users` tool are processed in memory and encrypted in transit.

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