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 Google ADK 10 tools — connect in under 2 minutes

Name: Habitify
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Habitify as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="habitify_agent",
    instruction=(
        "You help users interact with Habitify "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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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.

Google ADK natively supports Habitify as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Habitify MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Habitify via MCP

Why Use Google ADK with the Habitify MCP Server

Google ADK provides unique advantages when paired with Habitify through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Habitify

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Habitify tools with BigQuery, Vertex AI, and Cloud Functions

Habitify + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Habitify and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Habitify tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Habitify regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Habitify

Habitify MCP Tools for Google ADK (10)

These 10 tools become available when you connect Habitify to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Habitify + Google ADK FAQ

Common questions about integrating Habitify MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.