How to Use the Lemlist MCP in Vercel AI SDK

Stream live Lemlist data into your Vercel AI SDK interface. Stop waiting for spinners and let your frontend react to campaign updates.

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Connect Lemlist MCP to Vercel AI SDK

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

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Direct Lemlist integration for Vercel AI SDK

Pipe `list_campaigns` and `get_campaign` results straight into your streaming UI. You hook the MCP client into your edge functions, allowing your interface to display outreach metrics the second the agent fetches them. Your users see the data materialize in real-time. By binding these results to your state management, you build dashboards that reflect live Lemlist state without manual polling.

Manage leads via Vercel AI SDK

Inject `add_lead` and `delete_lead` tools into your agent's execution context. Your AI client handles the heavy lifting, pushing new contacts into specific sequences while you focus on the UI component logic. This keeps your application state in sync with your outreach backend. When the agent finishes a task, the UI updates instantly to show the latest lead status.

Campaign control for Vercel AI SDK

Trigger `pause_lead` or `resume_lead` directly from your chat interface. Your agent monitors incoming events and fires the necessary API calls to throttle or restart outreach based on real-time feedback. This removes the need for your users to toggle tabs. Everything stays inside your application, keeping the workflow focused and fast.

Setup guide

Set up Lemlist 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 Lemlist 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 Lemlist transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lemlist. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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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 Lemlist MCP in Vercel AI SDK

Install the MCP client package and initialize it with your server endpoint. Pass the tools directly into your `generateText` function to give your agent access to your campaigns.

Yes, but you should implement a validation layer before calling `add_lead`. Keep your logic tight to prevent junk data from hitting your production sequences.

The server provides the data, and your Vercel AI SDK implementation handles the stream. You get the raw tool output immediately, allowing your frontend to render updates as they happen.

Vinkius handles the auth tunnel. Your API key stays in your environment variables, and the server acts as a secure proxy for your agent.

It accesses your campaign lists, lead contact details, and team metadata. This is strictly read-and-write access for your specified tools, nothing more.

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