How to Use the Amplemarket MCP in Vercel AI SDK

Q: How do I install the Amplemarket MCP server in my Vercel AI SDK project?

Run npm install ai @ai-sdk/mcp to get the core packages. Then, configure the HTTP transport pointing to your Vinkius endpoint and pass the tools directly into streamText.

Q: Does the Amplemarket integration support streaming UI components?

Yes. When your agent calls getcontact or listcontacts, the Vercel AI SDK streams the raw JSON straight into your React components, letting you render custom UI cards immediately.

Q: Can I use Vercel AI SDK to filter prospects using Amplemarket data?

You can feed the output of listcontacts into your model, letting the SDK filter and sort the leads based on user prompts before rendering them.

Q: How do I handle connection timeouts with this MCP server?

Always call mcpClient.close() when your edge function finishes executing. This prevents open HTTP connections from hanging and hitting Vercel's execution limits.

Feed live Amplemarket sales data directly into your Next.js UI components with the Vercel AI SDK and this MCP server.

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Connect Amplemarket MCP to Vercel AI SDK

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

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Real-time pipeline checks with Vercel AI SDK

`list_sequences` pulls your active sales campaigns directly into your edge-rendered UI without making users wait for a full page reload. Your AI client reads the active sequence states and formats them into clean, live-updating lists on the fly. You don't have to write custom API wrappers or handle state management for these data fetches. The Vercel AI SDK handles the stream, rendering sequence progress as the MCP server returns raw data.

Instant lead enrichment on the edge

`enrich_person` and `enrich_company` look up prospect profiles instantly when a user types an email into your app. The tool bypasses slow database setups by querying the Amplemarket data layer directly through your agent. Because this runs on Vercel Edge Functions, the response times stay low. Your user gets enriched profile data painted onto the screen block by block, bypassing standard loading spinners.

Direct exclusion list filtering

`list_exclusions` prevents your application from reaching out to blocklisted domains or opted-out prospects. The tool checks your domain exclusion list through the MCP server before your agent can draft or trigger any outbound emails. This setup ensures compliance without adding lag to the user interface. The SDK pipes the exclusion array into your system prompt, keeping your agent from making bad outreach decisions.

Setup guide

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

Run `npm install ai @ai-sdk/mcp` to get the core packages. Then, configure the HTTP transport pointing to your Vinkius endpoint and pass the tools directly into `streamText`.

Yes. When your agent calls `get_contact` or `list_contacts`, the Vercel AI SDK streams the raw JSON straight into your React components, letting you render custom UI cards immediately.

You can feed the output of `list_contacts` into your model, letting the SDK filter and sort the leads based on user prompts before rendering them.

Always call `mcpClient.close()` when your edge function finishes executing. This prevents open HTTP connections from hanging and hitting Vercel's execution limits.

Your prospect emails, sequence lists, and company profiles never sit on Vercel's servers. The Vinkius sandbox acts as a zero-trust pass-through, executing the tools in an isolated V8 container that wipes itself after every request.

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