How to Use the DISQO MCP in Vercel AI SDK

Q: Can Vercel AI SDK handle DISQO rate limits?

Yes. Use getplatformmetadata to check your current usage limits before firing off heavy research requests. Your code can then adjust its behavior based on the returned values.

Q: How do I audit DISQO metrics in Vercel AI SDK?

Call quickbehavioralaudit to get a high-level summary of active metrics. This gives your Vercel AI SDK agent the context it needs to answer user questions about current trends.

Stream real-time consumer data directly into your Vercel AI SDK interface for instant insight visualization.

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Connect DISQO MCP to Vercel AI SDK

Create your Vinkius account to connect DISQO 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 DISQO with Vercel AI SDK

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Live Behavioral Data in Vercel AI SDK

Feed consumer interaction metrics straight into your React or Next.js components. When your agent triggers `list_behavioral_metrics`, the results stream into your UI without waiting for a backend process to finish. This MCP Server provides the raw data your frontend needs to render charts or tables instantly. Your users watch the data arrive as the AI fetches it.

Active Project Tracking for Vercel AI SDK

Monitor your research pipeline by querying `list_running_research_projects` from within your edge functions. You get the current status of every active study pushed directly to your application state. Stop polling databases and let the AI handle the discovery. You map these project statuses to your internal dashboard to ensure your team never misses a collection milestone.

Rapid Insight Search via Vercel AI SDK

Connect your search bar to `search_insights_by_keyword` to surface relevant consumer reports in milliseconds. Your AI agent retrieves the specific text or data your user needs based on their query. This creates a tight loop between user intent and research data. You don't have to build custom search logic when the tool handles the heavy lifting through your existing agent setup.

Setup guide

Set up DISQO 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 DISQO 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 DISQO 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 DISQO. 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

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Real-time monitoring

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

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Common questions about DISQO MCP in Vercel AI SDK

Install the MCP client packages and initialize the connection using your endpoint URL. Once set, pass the DISQO tools into your streamText call to begin fetching data.

Yes. Use `get_platform_metadata` to check your current usage limits before firing off heavy research requests. Your code can then adjust its behavior based on the returned values.

The connection uses encrypted endpoints for all traffic. Your DISQO authentication token remains local, and the Vercel AI SDK handles the transit securely.

Call `quick_behavioral_audit` to get a high-level summary of active metrics. This gives your Vercel AI SDK agent the context it needs to answer user questions about current trends.

The server only provides aggregated behavioral insights and project metadata. No PII is exposed to your Vercel AI SDK application through these tools.

Use it with your favorite AI tools

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