How to Use the Flow XO MCP in Vercel AI SDK

Q: Can I use Flow XO with Vercel AI SDK to trigger events?

Yes. You connect the server to your app and use triggerwebhook to fire specific events. It works within your existing stream.

Q: How do I show Flow XO user data in my Vercel AI SDK app?

Map the output of getuserdetails to your UI components. The tool returns the profile data in a clean format for your app to display.

Stream live chatbot data directly into your Vercel AI SDK interface. Control workflows and manage users without the loading spinners.

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Connect Flow XO MCP to Vercel AI SDK

Create your Vinkius account to connect Flow XO 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 Flow XO with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Real-time workflow management for Vercel AI SDK

Toggle active automation logic on the fly using `toggle_workflow`. Your UI reflects the state change instantly as the MCP server updates the backend. This lets you build reactive dashboards where end users switch bot logic without leaving the browser. You get immediate visual confirmation of every status update.

Direct user interaction via MCP server tools

Send targeted notifications to specific users using `send_push_message`. The integration pushes data through your stack to the front end immediately. Your application layer handles the message delivery while the server manages the connection. It creates a responsive loop between your agent and the chat participant.

Deep analytics integration in your front end

Pull performance metrics into your charts using `get_automation_analytics`. The data feeds straight into your React or Next.js components. Stop guessing how your automations perform. You can render charts that show exactly how many messages were sent or workflows triggered.

Setup guide

Set up Flow XO 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 Flow XO 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 Flow XO transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flow XO. 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

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

Connect Flow XO now

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 Flow XO MCP in Vercel AI SDK

Yes. You connect the server to your app and use `trigger_webhook` to fire specific events. It works within your existing stream.

The server relies on your endpoint token for all requests. You manage the auth context within your environment variables.

Map the output of `get_user_details` to your UI components. The tool returns the profile data in a clean format for your app to display.

No. The tools execute asynchronously and return results to the LLM. Your stream remains fluid while the actions process in the background.

The server only touches the specific user profile and message history you request. It does not cache sensitive data outside of your active session.

Use it with your favorite AI tools

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

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