How to Use the CONSENSUS MCP in Vercel AI SDK

Q: How do I initialize the CONSENSUS MCP Server inside a Vercel AI SDK project?

Install @ai-sdk/mcp and set up the HTTP transport pointing to your Vinkius endpoint. Pass the tools from mcpClient.tools() directly into generateText or streamText. Don't forget to call mcpClient.close() once your stream finishes to prevent memory leaks.

Q: Can I stream CONSENSUS demolytics to a Next.js frontend using Vercel AI SDK?

Yes, you can stream this data live. By passing listdemolytics into streamText, your UI renders the engagement metrics block by block. This means your sales dashboard shows buyer behavior without long API delays.

Q: How do I filter available demos before streaming them?

Have your agent call listdemos with specific filter parameters inside your text generation call. The SDK will process the list of available interactive files and feed the filtered results directly into your streaming UI component.

Stream CONSENSUS demo engagement metrics directly to your Next.js frontend in real-time with the Vercel AI SDK using this MCP Server.

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…and any MCP-compatible client

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Connect CONSENSUS MCP to Vercel AI SDK

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

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Live stream CONSENSUS analytics to your Vercel AI SDK UI

Using `list_demolytics` lets you stop making users wait for heavy sales dashboards to load. When your agent fetches viewer metrics, this MCP integration pipes the raw engagement data straight into your React components as it arrives. Your users watch the graph populate live instead of staring at a blank screen. By hooking `list_demos` directly into `streamText`, you build an interface where prospects see which product features are trending right now.

Instant demoboard setups on the edge

Running `get_demoboard` on Edge Functions lets your sales agent spin up fast without hitting cold start bottlenecks. This MCP Server lets your Vercel AI SDK setup spin up fast, querying custom demo links on demand. Because the client handles the transport overhead, your agent can instantly generate personalized boards. It grabs what it needs via `list_demoboards` and renders the exact features your buyer cares about before they bounce.

Live tracking for sent demo invites

Querying `list_invitations` keeps your sales reps updated on who is actually watching their pitches. The agent checks pending invites and streams the status updates directly into your custom slack-like UI built with Vercel AI SDK. No more manual page refreshes to see if a prospect opened a link. Your app updates the UI state immediately, showing exactly which user from `list_users` sent the invite and whether the prospect clicked.

Setup guide

Set up CONSENSUS 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 CONSENSUS 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 CONSENSUS 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 CONSENSUS. 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.

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Real-time monitoring

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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 CONSENSUS MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up the HTTP transport pointing to your Vinkius endpoint. Pass the tools from `mcpClient.tools()` directly into `generateText` or `streamText`. Don't forget to call `mcpClient.close()` once your stream finishes to prevent memory leaks.

Yes, you can stream this data live. By passing `list_demolytics` into `streamText`, your UI renders the engagement metrics block by block. This means your sales dashboard shows buyer behavior without long API delays.

Vinkius handles the underlying MCP token complexity, so you only need one endpoint token. You can configure the SDK's `authProvider` to manage user-specific OAuth tokens when fetching data with `list_users`. This keeps your credentials secure on the server side.

Have your agent call `list_demos` with specific filter parameters inside your text generation call. The SDK will process the list of available interactive files and feed the filtered results directly into your streaming UI component.

All interactive demo views, invitation details, and team lists fetched from the API run inside an isolated, zero-trust V8 sandbox. No viewer tracking data is ever written to persistent storage on the gateway. Your prospect engagement metrics remain strictly between your application and the API.

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