How to Use the Habitify MCP in Mastra AI

Q: Can I fetch my daily checklist using this setup?

Yes. Your agent can call getjournal to retrieve all habits scheduled for today, along with their current completion status, allowing you to build automated morning briefings.

Build resilient, automated TypeScript workflows with Mastra AI that manage your Habitify routines and handle API retries out of the box.

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Connect Habitify MCP to Mastra AI

Create your Vinkius account to connect Habitify 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.

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Setup Habitify with Mastra AI

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Build Resilient Habit Workflows with Mastra AI

The `add_habit_log` tool logs your daily routine completions while handling API retries automatically. Tracking routines shouldn't break when an API hiccup occurs. By integrating this MCP Server with Mastra, you can build multi-step workflows that automatically retry failed actions. You initialize the MCP client and register the tools directly with your agent. If the Habitify API rate limit triggers, Mastra handles the pause and retry cycles silently.

Human-in-the-Loop Habit Deletion

The `delete_habit` tool permanently removes a habit from your account and requires strict confirmation safeguards. Deleting a habit is destructive and ruins your historical data. Mastra lets you configure requireToolApproval specifically for the deletion tool, forcing the system to ask you for confirmation before wiping out a routine. Less sensitive actions like `list_habits` or `get_habit` run automatically in the background, keeping your data safe while letting your automated routines run without constant babysitting.

Conditional Area-Based Goal Adjustments

The `list_areas` tool retrieves your habit categories so your agent can adjust goals based on current life areas. Your habits should adapt to your changing lifestyle. Using Mastra's workflow engine, your agent can run conditional logic to adjust targets based on your current workload. If your work area gets too busy, the agent uses `update_habit` to scale back your exercise targets for that week.

Setup guide

Set up Habitify 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 Habitify 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: "habitify-mcp-client",
  servers: {
    "habitify-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Habitify. 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 Habitify MCP in Mastra AI

You instantiate new MCPClient with the Vinkius server URL, then call mcpClient.listTools(). Spread those tools directly into your agent's configuration object to give it immediate access to your habits.

Yes, you can. Use Mastra's requireToolApproval setting on tools like delete_habit to ensure the agent never deletes a routine without your explicit confirmation.

Mastra's built-in workflow engine automatically retries failed API calls with exponential backoff. If add_habit_log hits a rate limit, the system queues the request and tries again later without crashing your application.

Yes. Your agent can call get_journal to retrieve all habits scheduled for today, along with their current completion status, allowing you to build automated morning briefings.

Your habit logs and journal entries travel securely through an ephemeral V8 sandbox managed by the MCP Server. Vinkius manages the authentication tokens, ensuring your private routine data is never stored or exposed to external servers during execution.

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