How to Use the Drata MCP in Vercel AI SDK

Q: Can Vercel AI SDK display failing Drata controls?

Yes. Your agent can call dratalistcontrols to identify any failing requirements. These results stream directly to your UI for immediate review.

Q: Does Drata work with Vercel AI SDK state management?

It does. You can store the JSON output from tools like dratalistassets in your application state. This allows for persistent compliance dashboards that update in real-time.

Stream real-time compliance data directly into your Vercel AI SDK interface for instant audit visibility.

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Connect Drata MCP to Vercel AI SDK

Create your Vinkius account to connect Drata 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.

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Setup Drata with Vercel AI SDK

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Real-time compliance monitoring for AI SDK

Feed live security data into your frontend using the Vercel AI SDK. This MCP Server lets your agent pull status updates through `drata_list_tests` to display current system health without waiting for batch reports. Your users see the state of your cloud environment instantly. By mapping `drata_list_assets` to your UI components, you provide immediate feedback on infrastructure security, removing the delay common in manual compliance checks.

Personnel and policy tracking in your UI

Expose employee onboarding states and policy acknowledgments directly to your dashboard. Using `drata_list_personnel` and `drata_get_policy`, your agent fetches specific data points to show who needs training or which documents are outdated. This keeps your team informed without forcing them to log into a separate portal. The data renders cleanly in your React or Svelte views, giving you a clear window into organizational compliance status.

Automated vendor and framework oversight

Track third-party risk and audit readiness with ease. By calling `drata_list_vendors` and `drata_list_frameworks`, your agent aggregates high-level compliance scores and vendor risk levels for direct display in your application. Displaying this information helps your users make informed decisions about supply chain security. It turns raw audit data into a visible, actionable status report that updates as often as your agent runs.

Setup guide

Set up Drata 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Drata tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Drata transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Drata. 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 Drata MCP in Vercel AI SDK

Install the MCP client packages and point your transport configuration to the server URL. Once connected, pass the tools to your streamText function to begin querying your compliance data.

Yes. Your agent can call `drata_list_controls` to identify any failing requirements. These results stream directly to your UI for immediate review.

It does. You can store the JSON output from tools like `drata_list_assets` in your application state. This allows for persistent compliance dashboards that update in real-time.

The server operates over an encrypted connection. All sensitive data like background check dates or IdP group mappings remains localized to your session and client.

Polling frequency depends on your agent implementation. You control when the agent invokes tools, ensuring you only query Drata when you need fresh information.

Use it with your favorite AI tools

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