journy.io MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect journy.io through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 journy.io, 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 journy.io MCP Server
Empower your AI agents with journy.io's SaaS growth platform. This MCP server allows you to list and retrieve users and accounts, track events, manage audience segments, and view growth goals directly through the journy.io API. Ideal for automating customer success and growth marketing workflows.
The Vercel AI SDK gives every journy.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The journy.io MCP Server exposes 10 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 journy.io to Vercel AI SDK via MCP
Follow these steps to integrate the journy.io 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 10 tools from journy.io and passes them to the LLM
Why Use Vercel AI SDK with the journy.io MCP Server
Vercel AI SDK provides unique advantages when paired with journy.io 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 journy.io integration everywhere
Built-in streaming UI primitives let you display journy.io 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
journy.io + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the journy.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query journy.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate journy.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed journy.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with journy.io through natural language queries
journy.io MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect journy.io to Vercel AI SDK via MCP:
get_account
Use this to understand the status and lifecycle of a specific business customer. Retrieves details for a specific account
get_me
Use for system authentication verification. Gets details about your own authenticated API identity
get_user
Includes custom properties, event history summary, and account associations. Use this for deep intelligence on a specific user before an interaction. Retrieves details for a specific user
list_accounts
Includes account health metrics and identifiers. Use this to provide a business-level overview of the customer base. Lists all accounts (companies) tracked in journy.io
list_campaigns
Use to analyze which campaigns are successfully driving high-value users. Lists all tracked marketing campaigns
list_events
g., "Logged In", "Plan Upgraded"). Use this to understand user behavior patterns and active features. Lists all tracked events
list_goals
Use this to track progress toward business objectives like user activation or retention. Lists all growth goals configured in journy.io
list_properties
Use this to understand what metadata is available for users and accounts (e.g., "industry", "setup_wizard_completed"). Lists all defined properties for users and accounts
list_segments
g., "Churn Risk", "Power Users"). Useful for identifying cohorts for targeted growth actions. Lists all defined audience segments
list_users
Returns user IDs, names, and health scores. Use this to identify key individuals for growth analysis or success management. Lists all users tracked in journy.io
Example Prompts for journy.io in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with journy.io immediately.
"List all active users in journy.io."
"Show me the details for account ID '456'."
"Check recent tracked events."
Troubleshooting journy.io MCP Server with Vercel AI SDK
Common issues when connecting journy.io to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpjourny.io + Vercel AI SDK FAQ
Common questions about integrating journy.io 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 journy.io 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 journy.io to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.