How to Use the Dastra MCP in Mastra AI

Q: Can Mastra workflow steps run in parallel when mapping datasets?

Yes, you can design a workflow that triggers listdatasets and listworkspaces concurrently. This speeds up the discovery phase of your data mapping process.

Build resilient, self-healing Dastra compliance workflows with Mastra AI agents.

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Connect Dastra MCP to Mastra AI

Create your Vinkius account to connect Dastra 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 Dastra with Mastra AI

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Build self-healing DSR workflows using Mastra AI

Mastra AI lets you build resilient, multi-step TypeScript workflows around your Dastra privacy operations. If your compliance agent hits an API limit while calling `create_dsr`, Mastra's built-in engine retries the call automatically using exponential backoff. You can design conditional branches that evaluate the urgency of a request returned by `get_dsr`. If the ticket meets your archive criteria, the Mastra workflow automatically executes `archive_dsr` without requiring manual developer intervention.

Keep your ROPA updated with automated workflow steps

Keeping your Record of Processing Activities updated is simple when you pair Mastra AI workflows with Dastra. The workflow engine runs `list_processings` to analyze your active compliance records and automatically flag outdated entries. Mastra's agent then queries `list_workspaces` and `list_actors` to map system access changes. If the workflow detects a new system actor, it holds the pipeline for approval before updating your Dastra workspace tags.

Deploy resilient breach logging pipelines with this MCP Server

When a data exposure is detected, your Mastra AI pipeline uses this MCP Server to trigger immediate compliance logging. The workflow executes `create_breach` within a strict, fault-tolerant sequence that guarantees the incident is registered in Dastra. If the initial API connection drops, Mastra's retry logic ensures the breach report isn't lost. Once registered, the workflow calls `list_breaches` to check for historical patterns and alerts your security lead.

Setup guide

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

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

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

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Common questions about Dastra MCP in Mastra AI

The framework uses its built-in workflow engine to retry the `update_dsr` tool automatically if it encounters network hiccups. You can configure custom backoff strategies to avoid API rate limits.

Absolutely, you can configure human-in-the-loop approvals on the agent before it calls `archive_dsr`. This stops the Mastra AI workflow until a compliance manager clicks approve.

Instantiate the client with your Vinkius SSE or HTTP URL. Then, spread the returned tools from your list directly into your Mastra AI agent configuration.

Yes, you can design a workflow that triggers `list_datasets` and `list_workspaces` concurrently. This speeds up the discovery phase of your data mapping process.

Mastra AI interacts with your Dastra data via secure, zero-trust V8 isolates. Your sensitive DSR details and breach logs are processed ephemerally, ensuring no compliance data is stored or exposed during workflow execution.

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