How to Use the journy.io MCP in Vercel AI SDK

Q: How do I connect the journy.io MCP Server to the Vercel AI SDK?

Run npm install ai @ai-sdk/mcp. Initialize it with createMCPClient({ transport: { type: 'http', url: '...' } }). Call mcpClient.tools() and pass the array to generateText or streamText.

Q: Can I stream journy.io campaign data directly into a Next.js app using the Vercel AI SDK?

Yes. The listcampaigns tool returns tracked marketing campaigns. The SDK streams the JSON payload directly into your UI components as the AI processes it.

Q: What happens if the journy.io API key is invalid in my Vercel AI SDK setup?

The getme tool checks system authentication. If the token fails, the server throws an error before your React frontend attempts to render broken data.

Q: How do I find available custom properties for users?

Call listproperties. It returns all defined metadata fields like industry or setup status. Your agent reads these keys to format subsequent requests.

Build live SaaS growth dashboards in React by streaming journy.io data directly through the Vercel AI SDK.

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Connect journy.io MCP to Vercel AI SDK

Create your Vinkius account to connect journy.io 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 journy.io with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Account and User Intelligence

The `get_user` tool pulls custom properties, event history, and account associations for a specific individual. Pass this to your Vercel AI SDK streamText function, and the frontend renders the user's health score instantly. You don't wait for a loading spinner. For company-wide metrics, `get_account` grabs the lifecycle status of a business customer. Your React components update live as the server returns the data.

Live Cohort Analysis

The `list_segments` tool extracts defined audience cohorts like 'Churn Risk' or 'Power Users' straight from journy.io. You pipe this data into your Edge Functions to build dynamic user interfaces based on audience grouping. Combine this with `list_users` to pull user IDs, names, and health scores. The Vercel AI SDK streams these lists directly into your Next.js tables.

Event Tracking MCP Server

The `list_events` tool retrieves behavioral patterns like 'Logged In' or 'Plan Upgraded' from this MCP Server. Your AI client reads the raw event logs and generates a live activity feed. When tracking business objectives, `list_goals` returns activation and retention progress. You install @ai-sdk/mcp, connect the transport, and the data flows straight into your Vue or Svelte frontend.

Setup guide

Set up journy.io 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 journy.io 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 journy.io 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 journy.io. 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.

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Common questions about journy.io MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp`. Initialize it with `createMCPClient({ transport: { type: 'http', url: '...' } })`. Call `mcpClient.tools()` and pass the array to `generateText` or `streamText`.

Yes. The `list_campaigns` tool returns tracked marketing campaigns. The SDK streams the JSON payload directly into your UI components as the AI processes it.

The `get_me` tool checks system authentication. If the token fails, the server throws an error before your React frontend attempts to render broken data.

Call `list_properties`. It returns all defined metadata fields like industry or setup status. Your agent reads these keys to format subsequent requests.

This server accesses PII including user IDs, names, and event histories. Vinkius isolates the execution environment in an ephemeral V8 sandbox. Data passes directly from the API endpoint to your client without persistent storage.

Use it with your favorite AI tools

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

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