Habitica with AutoGen

How to integrate Habitica MCP with Autogen

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Introduction Also integrate Habitica with TL;DR What is AutoGen What is the Habitica MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Habitica MCP Agent with another framework Explore Other Toolkits FAQ

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Introduction

This guide walks you through connecting Habitica to AutoGen using the Composio tool router. By the end, you'll have a working Habitica agent that can add a new daily task for exercise, create a challenge for team productivity, delete an outdated task from your challenge through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Habitica account through Composio's Habitica MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Habitica with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

Get and set up your OpenAI and Composio API keys
Install the required dependencies for Autogen and Composio
Initialize Composio and create a Tool Router session for Habitica
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Habitica tools
Run a live chat loop where you ask the agent to perform Habitica operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

Multi-Agent Systems: Build collaborative agent workflows
MCP Workbench: Native support for Model Context Protocol tools
Streaming HTTP: Connect to external services through streamable HTTP
AssistantAgent: Pre-built agent class for tool-using assistants

What is the Habitica MCP server, and what's possible with it?

The Habitica MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Habitica account. It provides structured and secure access to your tasks, challenges, and groups, so your agent can create tasks, manage challenges, organize groups, and automate productivity routines on your behalf.

Automated task creation and management: Let your agent create new tasks, set up habits, or add to-dos to keep your productivity on track—no manual entry needed.
Challenge and group organization: Easily create, edit, or delete Habitica challenges and groups so you can coordinate goals and activities with teams or friends.
Tag and webhook automation: Have your agent generate new tags for smarter task sorting or set up webhooks for real-time notifications when tasks change or are completed.
Subscription and group membership management: Direct your agent to check or cancel subscriptions, leave parties, or delete groups as your needs change.
Seamless challenge task updates: Effortlessly add or remove tasks within challenges, helping you keep group goals relevant and up to date.

Supported Tools & Triggers

Tools

Add Task to ChallengeTool to add a new task to a specified challenge.

Add Push DeviceTool to register a push notification device for the authenticated user.

Add Tag to TaskTool to add a tag to a task.

Clone ChallengeTool to clone an existing challenge.

Create ChallengeTool to create a new challenge.

Create Habitica PartyCreate a new Habitica party for collaborative gameplay.

Create TagTool to create a new tag.

Create TaskCreate a new task in Habitica.

Create WebhookTool to create a new webhook for taskActivity events.

Delete Habitica ChallengePermanently delete a Habitica challenge.

Leave or Delete Habitica GroupLeave or delete a Habitica group (party or guild).

Delete Group Chat MessageTool to delete a chat message from a Habitica group (party, guild, or Tavern).

Delete Habitica TagTool to delete a tag for the authenticated user.

Delete TaskPermanently deletes a user's task (habit, daily, todo, or reward) by its ID.

Delete Task Checklist ItemTool to delete a checklist item from a task.

Delete User MessageTool to delete a message from the authenticated user's inbox by its ID.

Delete User Push DeviceTool to remove a push device registration from the authenticated user's account.

Equip ItemTool to equip or unequip gear, pets, mounts, or costume items in Habitica.

Export Challenge to CSVTool to export a Habitica challenge to CSV format.

Get ChallengeTool to retrieve details of a specific challenge.

Get Group ChallengesTool to retrieve challenges available in a specific group (guild, party, or tavern).

Get Task by IDRetrieve a task by its unique ID.

Get Challenge TasksTool to get all tasks for a specified challenge.

Get ContentRetrieves all Habitica game content definitions in a single request.

Get Content By TypeRetrieves Habitica game content data filtered by a specific category type.

Get Export History CSVTool to export user tasks history in CSV format.

Get Export Inbox HTMLTool to export inbox data in HTML format from Habitica.

Export User Data JSONExports the authenticated user's complete data in JSON format.

Get GroupRetrieves detailed information about a Habitica group (guild or party).

Get Group MembersRetrieve members of a Habitica group (guild or party).

Get Habitica GroupsRetrieves Habitica groups based on type.

Get Habitica Tavern GroupTool to retrieve the Habitica Tavern (habitrpg) group details.

Get Party Chat MessagesTool to retrieve party chat messages from Habitica.

Get Model PathsRetrieves all available field paths and their data types for a specified Habitica model.

Get NewsTool to retrieve the latest Bailey announcement from Habitica.

Get PartyRetrieves the authenticated user's party details from Habitica.

Get Shops Market GearTool to retrieve the available gear for purchase in the market shop.

Get Time Travelers ShopTool to retrieve available items in the Time Travelers shop.

Get Habitica API StatusTool to check Habitica API server status.

Get TagsRetrieve all tags for the authenticated Habitica user.

Get TasksTool to retrieve all tasks for the authenticated user.

Get User ChallengesTool to retrieve challenges the authenticated user participates in.

Get User ProfileRetrieves the authenticated user's complete Habitica profile.

Get WebhooksRetrieves all webhooks configured for the authenticated Habitica user.

Get World StateRetrieves the current state of the Habitica game world including active events, world boss status, and seasonal NPC visual themes.

Invite To GroupTool to invite users to a specific group.

Invite To QuestTool to invite party members to a quest.

Join ChallengeTool to join a challenge.

Leave ChallengeTool to leave a Habitica challenge.

Local LoginTool to authenticate a user via local credentials.

Local User RegistrationTool to register a new Habitica user via email and password.

Mark Group Chat SeenTool to mark all chat messages as read/seen for a specific group.

Mark Notification SeenTool to mark a single notification as seen in Habitica.

Mark Notifications SeenMarks specific notifications as read/seen in Habitica.

Move Pinned ItemTool to move a pinned item in the rewards column to a new position.

Move Task To PositionMove a Habitica task to a new position in the task list.

Dismiss Bailey AnnouncementTool to dismiss the latest Bailey announcement in Habitica, allowing it to be read later.

Reset User AccountResets the authenticated user's account to starting state.

Read CardTool to mark a card as read in Habitica.

Remove Party MemberRemoves a member from the authenticated user's party.

Score TaskScore a Habitica task to mark it as completed or incomplete.

Social AuthTool to authenticate a user via a social provider.

Subscribe WebhookTool to enable (subscribe) an existing webhook by ID for the authenticated user.

Unlink All Challenge TasksTool to unlink all tasks from a Habitica challenge.

Update GroupTool to update a Habitica group (party or guild) by modifying its properties.

Update TagTool to update an existing tag's name.

Update TaskUpdate an existing task in Habitica.

Update Task Checklist ItemTool to update a checklist item in a task.

Update UserUpdate the authenticated user's profile, preferences, flags, and other settings in Habitica.

Validate Coupon CodeValidate a Habitica coupon code to check if it is valid and active.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Habitica account you can connect to Composio
Some basic familiarity with Autogen and Python async

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
Keep the API key safe.

Composio API Key

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to Habitica via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

COMPOSIO_API_KEY is required to talk to Composio
OPENAI_API_KEY is used by Autogen's OpenAI client
USER_ID is how Composio identifies which user's Habitica connections to use

Import dependencies and create Tool Router session

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Habitica session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["habitica"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes Habitica tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python

# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

url points to the Tool Router MCP endpoint from Composio
timeout is the HTTP timeout for requests
sse_read_timeout controls how long to wait when streaming responses
terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python

# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Habitica assistant agent with MCP tools
    agent = AssistantAgent(
        name="habitica_assistant",
        description="An AI assistant that helps with Habitica operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the Habitica tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Habitica related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which Habitica tools to call via MCP
agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Habitica and AutoGen:

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Habitica session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["habitica"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Habitica assistant agent with MCP tools
        agent = AssistantAgent(
            name="habitica_assistant",
            description="An AI assistant that helps with Habitica operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Habitica related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Habitica through Composio's Tool Router and MCP. From here you can:

Add more toolkits to the toolkits list, for example notion or hubspot
Refine the agent description to point it at specific workflows
Wrap this script behind a UI, Slack bot, or internal tool

Once the pattern is clear for Habitica, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Habitica MCP Agent with another framework

OpenAI Agents SDK

Use Habitica MCP with OpenAI Agents SDK

Claude Agent SDK

Use Habitica MCP with Claude Agent SDK

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Claude Cowork

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Codex

Use Habitica MCP with Codex

OpenClaw

Use Habitica MCP with OpenClaw

Hermes

Use Habitica MCP with Hermes

CLI

Use Habitica MCP with CLI

Google ADK

Use Habitica MCP with Google ADK

LangChain

Use Habitica MCP with LangChain

Vercel AI SDK

Use Habitica MCP with Vercel AI SDK

Mastra AI

Use Habitica MCP with Mastra AI

LlamaIndex

Use Habitica MCP with LlamaIndex

CrewAI

Use Habitica MCP with CrewAI

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TOOLKIT MARKETPLACE

FAQ

What are the differences in Tool Router MCP and Habitica MCP?

With a standalone Habitica MCP server, the agents and LLMs can only access a fixed set of Habitica tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Habitica and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Habitica tools.

Can I manage the permissions and scopes for Habitica while using Tool Router?

Yes, absolutely. You can configure which Habitica scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Habitica data and credentials are handled as safely as possible.

Used by agents from

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We handle tool reliability, observability, and security so you never have to second-guess an agent action.

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Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

We chose Composio over Pipedream because it delivered depth where it mattered. It supported niche tools and tricky edge cases that other platforms simply ignored. Giving us confidence to scale without compromising.

Ryan YuFounder, Extra Thursday

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down in the complexities of managing agent auth would have been a death sentence for Extra Thursday.

Tomisin JenrolaFounder & CEO, SwarmZero

Before partnering with Composio, adding tool integrations was a slow, resource-intensive process. Each integration could take weeks or months of engineering time, and maintaining them meant constantly keeping up with API changes.

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

How to integrate Habitica MCP with Autogen

Table of Contents

Connect Habitica without Auth hassles

Introduction

Also integrate Habitica with

TL;DR

What is AutoGen?

What is the Habitica MCP server, and what's possible with it?

Supported Tools & Triggers

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

How to build Habitica MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Google Sheets

Notion

Airtable

FAQ

What are the differences in Tool Router MCP and Habitica MCP?

Can I use Tool Router MCP with Autogen?

Can I manage the permissions and scopes for Habitica while using Tool Router?

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability