Mautic MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Mautic through the 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 Mautic, 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 Mautic MCP Server
Connect your Mautic marketing automation instance to any AI agent and take full control of your marketing workflows through natural conversation.
The Vercel AI SDK gives every Mautic tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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.
What you can do
- Contact Management — Search for contacts, fetch detailed profiles, and create new records on the fly
- Campaign Tracking — List and inspect marketing automation campaigns and their configurations
- Email Marketing — Manage email templates and retrieve details for specific marketing emails
- Audience Segmentation — List contact segments and add contacts to specific lists for targeted marketing
- Company Data — Manage company (account) records and their associations within Mautic
The Mautic 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.
How to Connect Mautic to Vercel AI SDK via MCP
Follow these steps to integrate the Mautic 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 11 tools from Mautic and passes them to the LLM
Why Use Vercel AI SDK with the Mautic MCP Server
Vercel AI SDK provides unique advantages when paired with Mautic 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 Mautic integration everywhere
Built-in streaming UI primitives let you display Mautic 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
Mautic + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Mautic MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Mautic in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Mautic tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Mautic capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Mautic through natural language queries
Mautic MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Mautic to Vercel AI SDK via MCP:
add_contact_to_segment
Add a contact to a segment
create_contact
Create a new contact
get_campaign
Get campaign details by ID
get_company
Get company details by ID
get_contact
Get a specific contact by ID
get_email
Get email details by ID
list_campaigns
List all campaigns
list_companies
List all companies
list_contacts
Supports an optional search query. List or search contacts
list_emails
List all email templates
list_segments
List all contact segments
Example Prompts for Mautic in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Mautic immediately.
"Find contact info for john.doe@example.com in Mautic."
"List all active marketing campaigns."
"Add contact ID 1234 to segment ID 5."
Troubleshooting Mautic MCP Server with Vercel AI SDK
Common issues when connecting Mautic to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMautic + Vercel AI SDK FAQ
Common questions about integrating Mautic 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 Mautic 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 Mautic to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.