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How to Use the Dastra MCP in Vercel AI SDK

Stream live Dastra DSR updates and breach logs directly to your Next.js UI using the Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Dastra MCP to Vercel AI SDK

Create your Vinkius account to connect Dastra to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Stream live DSR status in Vercel AI SDK apps

This Vercel AI SDK integration lets your Next.js interface display active Dastra privacy requests as they update, avoiding static loading screens. By pairing your React components with the `get_dsr` and `list_dsr` tools, your frontend receives live compliance data directly from the model. You don't have to write custom React polling hooks to keep your Dastra DSR states synchronized. Just let your Vercel AI SDK client call `update_dsr` or `archive_dsr` to stream immediate state changes straight to your user-facing dashboard.

Live-render breach reports as your agent files them

When a security incident occurs, this Vercel AI SDK setup lets your team watch Dastra breach records populate in real time. The model invokes the `create_breach` tool to document the incident, streaming the verified fields straight to your incident response UI. Your security dashboard stays updated as the streaming model runs `list_breaches` to cross-reference previous incidents. This keeps your emergency response team aligned without forcing them to manually refresh their Dastra logs.

Render interactive dataset maps in your chat UI

Visualizing your data inventory shouldn't require leaving your Vercel AI SDK chat interface. Your streaming agent can query `list_datasets` and `list_workspaces` to render an interactive map of your Dastra data processing environments. Because the tool outputs stream directly into your React frontend, users can instantly filter workspaces by applying tags via `list_tags`. This gives your privacy team a live, editable view of your Dastra compliance footprint.

Setup guide

Set up Dastra MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Dastra tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Dastra transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dastra. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about Dastra MCP in Vercel AI SDK

Install the Vercel AI SDK and point the HTTP transport to your Vinkius endpoint. You can then pass `list_dsr` to streamText to render live compliance queues in your Next.js frontend.
Yes, the Vercel AI SDK handles `archive_dsr` asynchronously without blocking the main UI thread. Your streaming interface remains responsive, showing a live progress state while the backend updates the status.
Use the `list_breaches` tool within your streaming text function. The Vercel AI SDK streams the JSON array of incident logs straight to your UI components as they load.
No, Vinkius manages the authentication layer automatically. You only need to pass your single endpoint token to the client configuration.
Your Dastra GDPR records, DSRs, and breach logs never persist on Vinkius servers. All streaming data passes through secure, ephemeral V8 isolates to keep your compliance data private.

Start using the Dastra MCP today

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