How to Use the EasySendy MCP in Vercel AI SDK

Q: How do I manage list fields via EasySendy and Vercel AI SDK?

Call the getlistfields tool to retrieve the schema. Your agent can then map those fields correctly before submitting new user data.

Stream your EasySendy subscriber data directly into your Vercel AI SDK interface without waiting for background tasks.

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Connect EasySendy MCP to Vercel AI SDK

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

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Real-time subscriber management

Pipe live subscriber updates into your UI using `add_subscriber` and `update_subscriber`. Your users see the state change immediately as the tool response streams back through your frontend. This eliminates the lag between API calls and browser updates. You get raw data flowing from the server to the DOM while the user watches the process complete.

Batch list operations for Vercel AI SDK

Handle thousands of records at once by firing `add_multiple_subscribers` through your edge functions. The SDK manages the connection while the server pushes the payload to the EasySendy backend. It keeps your interface responsive even when importing massive datasets. You aren't locking up the main thread waiting for the server to finish the write operation.

List hygiene in your application

Trigger `unsubscribe_user` or `delete_subscriber` directly from your AI-powered chat components. Your agent can clean your lists based on user feedback or automated churn detection logic. This keeps your sender reputation high by removing inactive users instantly. Your agent acts as the gatekeeper for your email infrastructure.

Setup guide

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

You install the MCP client package and point it to the server URL. Pass the tools directly into your `streamText` configuration to let your agent call the functions.

Yes. The server accepts arrays of subscribers via the tool definition. It processes them in chunks to stay within API limits.

Absolutely. The tool outputs stream as text chunks. Your frontend reacts to these chunks in real-time as they arrive from the server.

Call the `get_list_fields` tool to retrieve the schema. Your agent can then map those fields correctly before submitting new user data.

The server uses standard transport protocols. Your API keys never touch the client-side code, keeping your subscriber credentials isolated from the browser.

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