Audienceful 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 Audienceful 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 Audienceful, 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 Audienceful MCP Server
Connect your Audienceful account to any AI agent and transform how you manage your email marketing and audience data through natural conversation.
The Vercel AI SDK gives every Audienceful 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
- People Management — Create, search, and update subscriber profiles and manage their subscription status across your workspace
- Custom Data Fields — Define and manage custom data points to segment your audience with surgical precision
- Automation Triggers — Programmatically trigger email sequences and marketing automations for specific users or events
- Performance Auditing — Query and analyze campaign performance and audience growth metrics without manual exports
The Audienceful 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 Audienceful to Vercel AI SDK via MCP
Follow these steps to integrate the Audienceful 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 Audienceful and passes them to the LLM
Why Use Vercel AI SDK with the Audienceful MCP Server
Vercel AI SDK provides unique advantages when paired with Audienceful 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 Audienceful integration everywhere
Built-in streaming UI primitives let you display Audienceful 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
Audienceful + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Audienceful MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Audienceful in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Audienceful tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Audienceful capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Audienceful through natural language queries
Audienceful MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Audienceful to Vercel AI SDK via MCP:
create_custom_field
Create a new custom field for your audience members
create_person
You must provide at least an email address. Add a new person to your audience
delete_custom_field
Delete a custom field
delete_person
Use with caution. Permanently remove a person from your audience
get_person
Get details for a specific person by their UID
list_custom_fields
List all custom fields defined in your audience
list_people
You can filter by status or search for a specific email address. List all people in your Audienceful audience
list_send_reports
List recent email send reports
trigger_automation
Manually trigger an automation for a person
update_person
Update an existing person profile
Example Prompts for Audienceful in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Audienceful immediately.
"Search for subscribers who have the 'Company' field set to 'TechCorp'."
"Trigger the 'onboarding-welcome' sequence for [email protected]"
"List all custom fields currently defined in my Audienceful workspace."
Troubleshooting Audienceful MCP Server with Vercel AI SDK
Common issues when connecting Audienceful to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAudienceful + Vercel AI SDK FAQ
Common questions about integrating Audienceful 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 Audienceful 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 Audienceful to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.