How to Use the Mautic MCP in Vercel AI SDK

Q: How do I query Mautic contacts within Vercel AI SDK?

You pass the listcontacts tool to your streamText call. The AI client handles the execution and returns the list to your frontend component.

Q: Can Vercel AI SDK trigger Mautic segment changes?

Yes. You expose addcontacttosegment as a tool in your agent. The model calls it whenever the logic dictates a segment update.

Stream Mautic marketing data directly into your Vercel AI SDK interface for real-time lead management.

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Connect Mautic MCP to Vercel AI SDK

Create your Vinkius account to connect Mautic to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mautic with Vercel AI SDK

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Live contact management in Vercel AI SDK

Stop waiting for background syncs. This MCP Server lets your application use `create_contact` and `list_contacts` to push and pull data while the user watches the stream. Your UI updates instantly as the agent finishes tasks. You get a direct pipeline between your frontend and your marketing database.

Automated campaign tracking for Vercel AI SDK

Your agent can grab campaign performance metrics using `get_campaign` or `list_campaigns` without extra backend boilerplate. It feeds raw marketing data into your AI client so the user sees campaign status updates immediately. It handles the request cycle while the user stays in the flow.

Segment-aware marketing with Vercel AI SDK

Use `add_contact_to_segment` to trigger marketing workflows based on user input or UI events. Everything stays in sync because this MCP Server maps your frontend actions directly to your Mautic segments. Your application logic stays lean while the data stays accurate.

Setup guide

Set up Mautic MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Mautic tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Mautic transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mautic. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Mautic MCP in Vercel AI SDK

You pass the `list_contacts` tool to your `streamText` call. The AI client handles the execution and returns the list to your frontend component.

Yes. You expose `add_contact_to_segment` as a tool in your agent. The model calls it whenever the logic dictates a segment update.

No. The server communicates over standard protocols to keep latency low. It performs operations as fast as the Mautic API allows.

Your credentials never touch the client-side code. The MCP Server manages the connection securely on your infrastructure.

Only if you explicitly log the output. The server transmits raw records like contact emails and IDs, so ensure your observability settings are configured correctly.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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