How to Use the FindThatLead MCP in Vercel AI SDK

Q: Does FindThatLead provide real-time verification in Vercel AI SDK?

Yes, you can trigger emailverifier during the conversation. The result streams back to your component immediately, so the user knows if an address is valid.

Q: Can I list leads from FindThatLead inside Vercel AI SDK apps?

Absolutely. Just call listleads through the agent. The tool returns the JSON array, which you can render into your UI components.

Get verified contact data directly into your Vercel AI SDK frontends. Stop guessing and build live prospecting tools that actually work.

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Connect FindThatLead MCP to Vercel AI SDK

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

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Real-time domain and email research

Your AI client can now pull verified contact data as the user types. Use `domain_search` to turn a company URL into a list of prospects without leaving your interface. Everything flows back into your stream immediately. You get the raw data from `email_finder` and `email_verifier` right in your UI, showing exactly what the agent found.

Full lead management in your UI

Manage your entire pipeline without switching tabs. Your agent uses `create_lead` and `list_leads` to organize contacts while the user is still in your app. It keeps the database clean by using `delete_lead` when contacts go stale. You build the front end, and the MCP server handles the heavy lifting of record keeping.

Campaign and account intelligence

Display your outreach performance metrics directly on a dashboard. Call `get_account_stats` to show usage data or `list_campaigns` to track how your emails are performing. Your users see the results from `get_campaign` in real-time. This server gives your app the data it needs to keep users informed about their current outreach volume.

Setup guide

Set up FindThatLead 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 FindThatLead 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 FindThatLead 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 FindThatLead. 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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Common questions about FindThatLead MCP in Vercel AI SDK

Install the MCP client packages and point your transport to the server URL. Once connected, pass the tools into your streamText function to let the model access lead data.

Yes, you can trigger `email_verifier` during the conversation. The result streams back to your component immediately, so the user knows if an address is valid.

Absolutely. Just call `list_leads` through the agent. The tool returns the JSON array, which you can render into your UI components.

The server returns an error code that your client handles. You should wrap your tool calls in standard try-catch blocks to keep the UI stable.

We use a per-user endpoint token for every request. No raw data is stored on Vinkius; your API key handles the authentication for every query.

Use it with your favorite AI tools

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