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 AutoGen 10 tools — connect in under 2 minutes

Name: Habitify
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Habitify as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="habitify_agent",
            tools=tools,
            system_message=(
                "You help users with Habitify. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Habitify tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

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

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Habitify automatically

Why Use AutoGen with the Habitify MCP Server

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

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Habitify tools to solve complex tasks

Role-based architecture lets you assign Habitify tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Habitify tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Habitify tool responses in an isolated environment

Habitify + AutoGen Use Cases

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

Collaborative analysis: one agent queries Habitify while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Habitify, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Habitify data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Habitify responses in a sandboxed execution environment

Habitify MCP Tools for AutoGen (10)

These 10 tools become available when you connect Habitify to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Habitify + AutoGen FAQ

Common questions about integrating Habitify MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Habitify tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.