EasySendy MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Add Multiple Subscribers, Add Subscriber, Create List, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect EasySendy through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The EasySendy app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using EasySendy, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About EasySendy MCP Server
Connect your EasySendy account to any AI agent and take full control of your email marketing lists and subscriber engagement workflows through natural conversation.
The Vercel AI SDK gives every EasySendy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Audience Orchestration — Create and manage email subscriber lists programmatically, including retrieving detailed metadata and custom tags
- Subscriber Lifecycle — Programmatically add, update, or remove subscribers from lists and manage detailed profiles directly from your agent
- Batch Intelligence — Perform large-scale subscriber imports and batch operations to streamline your high-volume marketing campaigns
- Engagement Control — Programmatically unsubscribe users or manage opt-in types (single/double) to ensure high-fidelity list hygiene and compliance
- Field Customization — Retrieve and manage custom contact fields and tags to maintain a structured and personalized communication ecosystem
The EasySendy MCP Server exposes 11 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 EasySendy tools available for Vercel AI SDK
When Vercel AI SDK connects to EasySendy through Vinkius, your AI agent gets direct access to every tool listed below — spanning easysendy, email-marketing, subscribers-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Input should be an array of subscriber objects. Add multiple subscribers to a list
Requires the List UID and at least an EMAIL address. Add a single subscriber to a list
Create a new subscriber list
Delete a subscriber list
Delete a subscriber from a list
Get custom fields/tags for a list
Get details for a specific subscriber
List all subscriber lists
Unsubscribe a user from a list
Update an existing subscriber list
Update an existing subscriber
Connect EasySendy to Vercel AI SDK via MCP
Follow these steps to wire EasySendy into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the EasySendy MCP Server
Vercel AI SDK provides unique advantages when paired with EasySendy through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same EasySendy integration everywhere
Built-in streaming UI primitives let you display EasySendy tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
EasySendy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the EasySendy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query EasySendy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate EasySendy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed EasySendy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with EasySendy through natural language queries
Example Prompts for EasySendy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with EasySendy immediately.
"List all my email subscriber lists in EasySendy."
"Add subscriber 'john.doe@example.com' to list UID 'abc-123'."
"Find subscriber details for 'sarah@example.com' in list 'abc-123'."
Troubleshooting EasySendy MCP Server with Vercel AI SDK
Common issues when connecting EasySendy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEasySendy + Vercel AI SDK FAQ
Common questions about integrating EasySendy MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.