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How to Use the Happierleads MCP in Vercel AI SDK

Stream deanonymized B2B visitor data directly into your Next.js frontend in real-time using Vercel AI SDK and this MCP Server.

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Vercel AI SDK

Connect Happierleads MCP to Vercel AI SDK

Create your Vinkius account to connect Happierleads 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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Stream Happierleads data with Vercel AI SDK

The `happierleads_info` tool gives your frontend application immediate access to the corporate identity of your anonymous website traffic. Vercel AI SDK streams this firmographic payload directly to the user's browser, bypassing static loading states by rendering component blocks as the IP resolution completes. You configure the MCP client on Vercel Edge Functions to pull domain names, industry verticals, and company sizes without stalling the page load. Your UI updates instantly with targeted case studies matching the visitor's actual employer, turning cold traffic into personalized landing pages on the fly.

Zero-loading-spinner IP resolution

The `happierleads_info` tool processes incoming IP addresses and returns company profiles through a secure V8 sandbox. By pairing this tool with the streaming capabilities of Vercel AI SDK, you display verified B2B metrics inside your chat interface without making the user wait for a full API round-trip. Your application passes the raw connection headers to the server, which immediately triggers the database lookup. The resulting JSON blocks feed directly into `streamText`, letting your UI render corporate logos and employee counts word by word.

Edge-compatible corporate intelligence

The `happierleads_info` tool runs within lightweight edge runtimes to keep your global performance footprint minimal. Vercel AI SDK calls this endpoint from regional nodes closest to your visitor, resolving their company name in milliseconds. This setup avoids heavy node modules or slow database handshakes. You get clean, structured firmographic data delivered to your React or Next.js layout before the user even scrolls past the fold.

Setup guide

Set up Happierleads 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 Happierleads 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 Happierleads 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 Happierleads. 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 Happierleads MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and initialize the client using `createMCPClient` with your Vinkius HTTP endpoint. Pass the resulting tool definitions directly into `generateText` or `streamText` to let your agent query the `happierleads_info` tool. Remember to call `mcpClient.close()` when the session ends to prevent memory leaks in your serverless functions.
Yes, the SDK processes the JSON payload from `happierleads_info` as a live stream. This prevents the UI from freezing while the server resolves the visitor's IP address. Your React components update progressively as each firmographic detail is parsed.
Absolutely. The Vinkius MCP host handles the underlying API complexity, allowing your edge functions to make simple HTTP calls to retrieve company profiles. This keeps your Next.js bundle light and your response times low.
When the `happierleads_info` tool encounters an unmapped residential IP, it returns a clean null state. Your agent reads this response instantly and defaults to standard, non-personalized UI paths. This ensures your application never breaks when a visitor browses from home.
The MCP server processes raw IP addresses inside an ephemeral V8 sandbox that destroys all session data immediately after execution. Vinkius handles the authentication tokens securely, meaning your Vercel AI SDK code never exposes raw API credentials to the client-side browser.

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