eSputnik MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Attach To Group, Create Contact, Detach From Group, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect eSputnik 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 eSputnik app connector for Vercel AI SDK is a standout in the Marketing category — giving your AI agent 12 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 eSputnik, 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 eSputnik MCP Server
The eSputnik MCP server allows your AI agent to orchestrate marketing campaigns across Email, SMS, Web Push, and Mobile Push. Send messages, retrieve contact lists, and manage omnichannel workflows seamlessly.
The Vercel AI SDK gives every eSputnik tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The eSputnik MCP Server exposes 12 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 12 eSputnik tools available for Vercel AI SDK
When Vercel AI SDK connects to eSputnik through Vinkius, your AI agent gets direct access to every tool listed below — spanning esputnik, email, sms, 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.
Add contacts to a specific group
Create a new contact in eSputnik
Remove contacts from a group
Retrieve account and organization metadata
Retrieve details for a specific contact
Check the delivery status of a sent message
List all contacts in eSputnik
List all contact groups/segments
List unsubscribed email addresses
Search for contacts by email or phone
Trigger an omnichannel message send
Generate a system event to trigger workflows
Connect eSputnik to Vercel AI SDK via MCP
Follow these steps to wire eSputnik 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 eSputnik MCP Server
Vercel AI SDK provides unique advantages when paired with eSputnik 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 eSputnik integration everywhere
Built-in streaming UI primitives let you display eSputnik 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
eSputnik + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the eSputnik MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query eSputnik in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate eSputnik tools and return structured JSON responses to any frontend
Chatbots with tool use: embed eSputnik capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with eSputnik through natural language queries
Example Prompts for eSputnik in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with eSputnik immediately.
"List all my contact groups in eSputnik."
"Send an SMS saying 'Your order has shipped!' to +123456789."
"Add 'john@example.com' to the 'VIP Customers' list."
Troubleshooting eSputnik MCP Server with Vercel AI SDK
Common issues when connecting eSputnik to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpeSputnik + Vercel AI SDK FAQ
Common questions about integrating eSputnik 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.