How to Use the AWeber MCP in Vercel AI SDK

Q: How do I connect AWeber to the Vercel AI SDK?

Install @ai-sdk/mcp via npm. Initialize the MCP client using createMCPClient with your Vinkius HTTP transport URL. Pass the returned tools into generateText or streamText.

Q: Can the Vercel AI SDK stream AWeber list data to React via MCP?

Yes. When the agent calls listlists, the JSON response streams directly to your frontend components. Users see their mailing lists populate instantly.

Q: How do I check if the MCP Server connection is active?

Run the getaccountcheck tool. It verifies your credentials and returns the available accounts linked to your token.

Stream AWeber subscriber data directly into your React frontend using the Vercel AI SDK.

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Connect AWeber MCP to Vercel AI SDK

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

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Build Live Dashboards with the AWeber MCP Server

The `get_broadcast_stats` tool pulls exact open and click rates straight from AWeber. You pass this into `streamText` to render engagement metrics live inside your Next.js application. Users watch the numbers update on their screen without waiting for a loading spinner. Fetching list details works the same way. Calling `get_list` inside your edge function grabs total subscriber counts instantly. The Vercel AI SDK pipes that payload directly to the client UI as it arrives.

Manage Subscribers via Chat

The `add_subscriber` tool pushes new emails straight into your mailing lists. Your agent asks the user for their contact details, validates the input, and fires the tool call automatically. They get added to the correct list before the conversation even finishes. Updating existing records happens just as fast. When a user asks to change their preferences, `find_subscriber` locates their profile via email. Then `update_subscriber` modifies their tags or status right from the chat interface.

Audit Campaigns in Real-Time

The `list_broadcasts` tool fetches every sent or scheduled email in your account. You tie this to a custom React component that renders rows as the data streams in. Marketers see their campaign history instantly. Checking automated sequences requires the `list_campaigns` tool. Your agent reads the active triggers and steps, then summarizes them for the end user. They get a clear picture of what goes out and when.

Setup guide

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

Install `@ai-sdk/mcp` via npm. Initialize the MCP client using `createMCPClient` with your Vinkius HTTP transport URL. Pass the returned tools into `generateText` or `streamText`.

Yes. When the agent calls `list_lists`, the JSON response streams directly to your frontend components. Users see their mailing lists populate instantly.

It works natively at the edge. You fetch subscriber details using `find_subscriber` without managing heavy backend servers. Always remember to call `mcpClient.close()` after execution.

Run the `get_account_check` tool. It verifies your credentials and returns the available accounts linked to your token.

Vinkius runs inside an ephemeral V8 Isolate Sandbox. Email addresses, custom tags, and open rates pass through a zero-trust environment that drops everything after the request finishes. We never store your contact lists.

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