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How to Use the Formilla MCP in Vercel AI SDK

Stream live chat data and visitor analytics directly into your Next.js frontend using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Formilla MCP to Vercel AI SDK

Create your Vinkius account to connect Formilla 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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Stream conversations to your UI

Build a custom support dashboard that renders chat data the second it hits your server. Using the Vercel AI SDK, you can call `list_conversations` and stream the active chat queue directly into a React component. There is no loading state. When an agent clicks a specific thread, fire `get_conversation` to pull the full message history. The response streams word-by-word into your frontend, keeping the interface fast and responsive for your support team.

Render website visitor data

Stop making users wait for heavy analytics dashboards to load. You can run `list_visitors` through your MCP Server to grab real-time website traffic data and push it straight to the client. If you need to group these users, `list_segments` pulls your saved audience filters. Pass that data into your UI components so marketing teams can see exactly who is browsing the site right now.

Formilla MCP Server contact syncing

Let your users manage CRM data without leaving your application. When a lead submits an email in your Next.js app, trigger `upsert_contact` to create or update their profile in the background. You can build a search bar that calls `search_contacts` as the user types. The SDK streams the matched profiles back instantly, letting your team find customer records without dealing with clunky interface delays.

Setup guide

Set up Formilla 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Formilla transactions",
});

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

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Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Formilla MCP in Vercel AI SDK

Use `createMCPClient` with an HTTP transport. Call `mcpClient.tools()` and pass the resulting array directly into `generateText` or `streamText`.
Yes. You can wire up a form in your frontend that triggers `update_contact` or `upsert_contact`. The SDK handles the tool execution while keeping your UI responsive.
That is the main advantage here. When you call `get_conversation`, the text output streams straight into your Svelte or Vue application without waiting for the full API response.
You configure the auth token within the MCP configuration. The SDK supports `authProvider` for OAuth if you need to pass user-specific credentials.
Your Formilla visitor segments and chat transcripts pass through the Vercel AI SDK in memory. The MCP architecture ensures these payloads go straight to your client without being logged or stored on our infrastructure.

Start using the Formilla MCP today

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