How to Use the journy.io MCP in Mastra AI

Q: How do I add the journy.io server to Mastra AI?

Install @mastra/mcp@latest. Instantiate new MCPClient() with the server URL. The client auto-detects Streamable HTTP or SSE transports.

Q: Can Mastra AI automatically retry failed journy.io API calls?

Yes. If tools like listusers or listaccounts hit rate limits, the built-in workflow engine applies exponential backoff. The agent attempts the fetch again without crashing the process.

Q: How do I verify my journy.io credentials within Mastra AI?

Run the getme tool. It returns your authenticated API identity. You place this as the first step in a workflow to ensure the connection is active before proceeding.

Q: Can I require human approval before fetching sensitive user data?

You enable requireToolApproval on the client. When the workflow attempts to call getuser, execution pauses until an administrator approves the action.

Build resilient growth workflows in Mastra AI that automatically react to journy.io segment shifts and user events.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect journy.io MCP to Mastra AI

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

GDPR Free for Subscribers

Setup journy.io with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Event-Driven Workflows

The `list_events` tool queries tracked behavioral patterns to trigger conditional branches in your workflow. If a user triggers a specific event, Mastra AI routes the execution to a different path automatically. You pair this with `list_campaigns` to measure which marketing efforts drive those specific events. The framework handles API failures gracefully, retrying the fetch with exponential backoff if the endpoint throttles your request.

Granular Property Mapping

The `list_properties` tool exposes all defined metadata fields for your users and accounts. Your Mastra AI agent uses these keys to construct accurate payload structures for downstream tasks. When investigating a specific business, `get_account` pulls the lifecycle status and health metrics. You spread the `mcpClient.listTools()` output directly into your agent setup, giving it immediate access to these queries.

Mastra AI MCP Server Integration

The `list_goals` tool tracks progress toward business objectives like user activation directly through your Mastra AI MCP Server setup. The agent checks this data to determine if a workflow should proceed or halt. To target specific groups, `list_segments` returns defined cohorts like 'Churn Risk'. If the agent detects a high-value account entering a churn segment, it triggers a notification workflow.

Setup guide

Set up journy.io MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All journy.io tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "journyio-mcp-client",
  servers: {
    "journyio-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "journy.io Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to journy.io tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent journy.io transactions"
);
console.log(result.text);

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.

Why Choose Vinkius

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

Connect journy.io 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 journy.io MCP in Mastra AI

Install `@mastra/mcp@latest`. Instantiate `new MCPClient()` with the server URL. The client auto-detects Streamable HTTP or SSE transports.

Yes. If tools like `list_users` or `list_accounts` hit rate limits, the built-in workflow engine applies exponential backoff. The agent attempts the fetch again without crashing the process.

Run the `get_me` tool. It returns your authenticated API identity. You place this as the first step in a workflow to ensure the connection is active before proceeding.

You enable `requireToolApproval` on the client. When the workflow attempts to call `get_user`, execution pauses until an administrator approves the action.

The server processes behavioral logs, custom properties, and account associations. Vinkius applies zero-trust architecture. The connection terminates immediately after the response, leaving no cached data behind.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript