Emarsys MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Emarsys through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Emarsys, 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 Emarsys MCP Server
Integrate Emarsys, the comprehensive customer engagement platform, directly into your AI workflow. Manage your email marketing campaigns and contact lists, track audience segments and automation programs, monitor trigger events and registration forms, and oversee your omnichannel engagement using natural language.
The Vercel AI SDK gives every Emarsys tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Campaign Oversight — List and retrieve detailed information, subject lines, and launch statuses for all your email campaigns.
- Contact Intelligence — Monitor marketing contact lists and audience segments, resolving structural details and filter criteria.
- Automation Management — Access and monitor automation programs and workflows, tracking active statuses and trigger events.
- Engagement Auditing — Retrieve high-level summaries of campaign volume, list activity, and organizational marketing health instantly.
The Emarsys MCP Server exposes 10 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.
How to Connect Emarsys to Vercel AI SDK via MCP
Follow these steps to integrate the Emarsys MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Emarsys and passes them to the LLM
Why Use Vercel AI SDK with the Emarsys MCP Server
Vercel AI SDK provides unique advantages when paired with Emarsys 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 Emarsys integration everywhere
Built-in streaming UI primitives let you display Emarsys 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
Emarsys + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Emarsys MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Emarsys in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Emarsys tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Emarsys capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Emarsys through natural language queries
Emarsys MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Emarsys to Vercel AI SDK via MCP:
get_campaign_details
Get detailed settings and status for a specific email campaign
get_contact_list_details
Get detailed settings for a specific contact list
get_emarsys_account_metadata
Retrieve metadata and settings for your Emarsys account
list_audience_segments
List all audience segments (filters) in your account
list_automation_programs
List all automation programs and workflows
list_email_campaigns
List all email campaigns in your Emarsys account
list_marketing_contact_lists
List all contact lists configured in your organization
list_registration_forms
List all subscription and registration forms
list_trigger_events
List all external events used for triggering automation programs
quick_engagement_volume_audit
Retrieve a high-level summary of campaigns, lists, and automation programs
Example Prompts for Emarsys in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Emarsys immediately.
"List all active email campaigns."
"Show me the audience segments in my account."
"What automation programs are currently running?"
Troubleshooting Emarsys MCP Server with Vercel AI SDK
Common issues when connecting Emarsys to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEmarsys + Vercel AI SDK FAQ
Common questions about integrating Emarsys 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.Connect Emarsys with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Emarsys to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.