How do I find my Habitify API Key?

Open the Habitify mobile app, go to **Settings > API Credentials** (or Settings > Account > API), and tap **Generate New Key**. Note that API access may require a premium subscription.

Can I record progress for my habits via the AI agent?

Yes! Use the `add_habit_log` tool. You can specify the habit ID and the value you want to record (e.g., '10 reps' or '30 minutes').

Does the integration support viewing statistics?

Yes, you can use the `get_habit_stats` tool to retrieve performance data for any habit within a specific date range, helping you analyze your consistency.

Can I create new habits through this integration?

Yes! The `create_habit` tool allows you to add new habits to your Habitify account directly from your conversational interface.

Habitify MCP Server for Cursor 10 tools — connect in under 2 minutes

Name: Habitify
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Habitify and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "habitify": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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IAMAccess control

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Habitify MCP Server

Connect your Habitify account to any AI agent and take full control of your personal growth and habit-tracking workflows through natural conversation.

Cursor's Agent mode turns Habitify into an in-editor superpower. Ask Cursor to generate code using live data from Habitify and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Habit Oversight — List all habits you are tracking and retrieve detailed information for each.
Journal Monitoring — Get a daily overview of your completion status and progress for any specific date.
Log Management — Record progress for your habits (reps, minutes, etc.) and view history logs efficiently.
Statistical Insights — Retrieve performance statistics for any habit within a custom date range.
Personalized Growth — Create new habits or update existing ones directly from your chat or IDE.
Area Categorization — Organize and browse your habits by areas of focus like Health, Work, or Mindset.

The Habitify MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor 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 Habitify to Cursor via MCP

Follow these steps to integrate the Habitify MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Habitify

Open Agent mode in chat and ask: "Using Habitify, help me...". 10 tools available

Why Use Cursor with the Habitify MCP Server

Cursor AI Code Editor provides unique advantages when paired with Habitify through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Habitify + Cursor Use Cases

Practical scenarios where Cursor combined with the Habitify MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Habitify MCP Tools for Cursor (10)

These 10 tools become available when you connect Habitify to Cursor via MCP:

add_habit_log

g., number of reps, minutes, or completion) to a habit. Record progress for a specific habit

create_habit

Create a new habit to track

delete_habit

Permanently delete a habit

get_habit

Get detailed information about a specific habit

get_habit_stats

Get statistics for a habit within a date range

get_journal

Get habits with completion status for a specific date

list_areas

List all habit areas (categories)

list_habit_logs

List all logs for a specific habit

list_habits

List all habits in your Habitify account

update_habit

Update an existing habit details

Example Prompts for Habitify in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Habitify immediately.

"What habits do I need to complete today?"

"Log 30 minutes of reading for today."

"Show me my stats for 'Morning Meditation' from last week."

Troubleshooting Habitify MCP Server with Cursor

Common issues when connecting Habitify to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Habitify + Cursor FAQ

Common questions about integrating Habitify MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.