Iterable 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 Iterable through the 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 MCP SERVER
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 Iterable, 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 Iterable MCP Server
Empower your AI agents to manage your cross-channel marketing with Iterable. This MCP server allows you to list campaigns, retrieve user profiles, track engagement metrics, manage contact lists, and view message templates directly through the Iterable API. Ideal for automating growth marketing and customer lifecycle management.
The Vercel AI SDK gives every Iterable tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Iterable 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 Iterable to Vercel AI SDK via MCP
Follow these steps to integrate the Iterable 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 Iterable and passes them to the LLM
Why Use Vercel AI SDK with the Iterable MCP Server
Vercel AI SDK provides unique advantages when paired with Iterable 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 Iterable integration everywhere
Built-in streaming UI primitives let you display Iterable 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
Iterable + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Iterable MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Iterable in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Iterable tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Iterable capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Iterable through natural language queries
Iterable MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Iterable to Vercel AI SDK via MCP:
get_campaign
Returns message content, audience targeting, and scheduling settings. Use this to analyze the setup of a specific campaign. Retrieves details for a specific campaign
get_campaign_metrics
Essential for reporting on marketing ROI and audience engagement. Retrieves performance metrics for a specific campaign
get_user
Essential for deep intelligence on an individual subscriber. Retrieves details for a user by email
list_campaigns
Returns campaign names, IDs, and statuses. Use this to identify active outreach efforts or locate a specific campaign ID. Lists all marketing campaigns
list_channels
g., Marketing, Transactional). Essential for understanding the available paths for reaching users. Lists all communication channels
list_lists
Useful for identifying segments and groups of users for targeted messaging. Lists all contact lists
list_message_types
g., "Weekly Newsletter", "Welcome Email") defined in the account. Useful for auditing message categorization. Lists all message types
list_templates
) available in the account. Useful for identifying content assets used in campaigns. Lists all message templates
list_webhooks
Useful for auditing system integrations and data exports. Lists all configured webhooks
list_workflows
Useful for monitoring automated marketing logic and identifying trigger-based campaigns. Lists all automation workflows
Example Prompts for Iterable in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Iterable immediately.
"List all active marketing campaigns in my Iterable account."
"Show me the details for user 'customer@example.com'."
"Check the metrics for campaign ID '123'."
Troubleshooting Iterable MCP Server with Vercel AI SDK
Common issues when connecting Iterable to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpIterable + Vercel AI SDK FAQ
Common questions about integrating Iterable 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 Iterable 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 Iterable to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.