How to integrate Habitica MCP with Autogen

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working Habitica agent that can add a new daily task for exercise, create a challenge for team productivity, delete an outdated task from your challenge through natural language commands.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.

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Habitica is an open-source task manager that gamifies your to-do lists and daily habits. Level up your productivity by turning tasks into an engaging RPG experience.

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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working Habitica agent that can add a new daily task for exercise, create a challenge for team productivity, delete an outdated task from your challenge through natural language commands.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 SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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.

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:

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

Step-by-step Guide

Step by step08 STEPS
1

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
2

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.
3

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

4

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
5

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
6

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
7

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
8

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.
TOOLS

Supported Tools

Every Habitica action and event your agent gets out of the box.

Add Task to Challenge

Tool to add a new task to a specified challenge.

Add Push Device

Tool to register a push notification device for the authenticated user.

Add Tag to Task

Tool to add a tag to a task.

Clone Challenge

Tool to clone an existing challenge.

Create Challenge

Tool to create a new challenge.

Create Habitica Party

Create a new Habitica party for collaborative gameplay.

Create Tag

Tool to create a new tag.

Create Task

Create a new task in Habitica.

Create Webhook

Tool to create a new webhook for taskActivity events.

Delete Habitica Challenge

Permanently delete a Habitica challenge.

Leave or Delete Habitica Group

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

Delete Group Chat Message

Tool to delete a chat message from a Habitica group (party, guild, or Tavern).

Delete Habitica Tag

Tool to delete a tag for the authenticated user.

Delete Task

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

Delete Task Checklist Item

Tool to delete a checklist item from a task.

Delete User Message

Tool to delete a message from the authenticated user's inbox by its ID.

Delete User Push Device

Tool to remove a push device registration from the authenticated user's account.

Equip Item

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

Export Challenge to CSV

Tool to export a Habitica challenge to CSV format.

Get Challenge

Tool to retrieve details of a specific challenge.

Get Group Challenges

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

Get Task by ID

Retrieve a task by its unique ID.

Get Challenge Tasks

Tool to get all tasks for a specified challenge.

Get Content

Retrieves all Habitica game content definitions in a single request.

Get Content By Type

Retrieves Habitica game content data filtered by a specific category type.

Get Export History CSV

Tool to export user tasks history in CSV format.

Get Export Inbox HTML

Tool to export inbox data in HTML format from Habitica.

Export User Data JSON

Exports the authenticated user's complete data in JSON format.

Get Group

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

Get Group Members

Retrieve members of a Habitica group (guild or party).

Get Habitica Groups

Retrieves Habitica groups based on type.

Get Habitica Tavern Group

Tool to retrieve the Habitica Tavern (habitrpg) group details.

Get Party Chat Messages

Tool to retrieve party chat messages from Habitica.

Get Model Paths

Retrieves all available field paths and their data types for a specified Habitica model.

Get News

Tool to retrieve the latest Bailey announcement from Habitica.

Get Party

Retrieves the authenticated user's party details from Habitica.

Get Shops Market Gear

Tool to retrieve the available gear for purchase in the market shop.

Get Time Travelers Shop

Tool to retrieve available items in the Time Travelers shop.

Get Habitica API Status

Tool to check Habitica API server status.

Get Tags

Retrieve all tags for the authenticated Habitica user.

Get Tasks

Tool to retrieve all tasks for the authenticated user.

Get User Challenges

Tool to retrieve challenges the authenticated user participates in.

Get User Profile

Retrieves the authenticated user's complete Habitica profile.

Get Webhooks

Retrieves all webhooks configured for the authenticated Habitica user.

Get World State

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

Invite To Group

Tool to invite users to a specific group.

Invite To Quest

Tool to invite party members to a quest.

Join Challenge

Tool to join a challenge.

Leave Challenge

Tool to leave a Habitica challenge.

Local Login

Tool to authenticate a user via local credentials.

Local User Registration

Tool to register a new Habitica user via email and password.

Mark Group Chat Seen

Tool to mark all chat messages as read/seen for a specific group.

Mark Notification Seen

Tool to mark a single notification as seen in Habitica.

Mark Notifications Seen

Marks specific notifications as read/seen in Habitica.

Move Pinned Item

Tool to move a pinned item in the rewards column to a new position.

Move Task To Position

Move a Habitica task to a new position in the task list.

Dismiss Bailey Announcement

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

Reset User Account

Resets the authenticated user's account to starting state.

Read Card

Tool to mark a card as read in Habitica.

Remove Party Member

Removes a member from the authenticated user's party.

Score Task

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

Social Auth

Tool to authenticate a user via a social provider.

Subscribe Webhook

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

Unlink All Challenge Tasks

Tool to unlink all tasks from a Habitica challenge.

Update Group

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

Update Tag

Tool to update an existing tag's name.

Update Task

Update an existing task in Habitica.

Update Task Checklist Item

Tool to update a checklist item in a task.

Update User

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

Validate Coupon Code

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

FRAMEWORKS

How to build Habitica MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Habitica MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Habitica MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Habitica MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Habitica MCP with Claude Cowork

Codex logo

Codex

Use Habitica MCP with Codex

OpenClaw logo

OpenClaw

Use Habitica MCP with OpenClaw

Hermes logo

Hermes

Use Habitica MCP with Hermes

CLI logo

CLI

Use Habitica MCP with CLI

Google ADK logo

Google ADK

Use Habitica MCP with Google ADK

LangChain logo

LangChain

Use Habitica MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Habitica MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Habitica MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Habitica MCP with LlamaIndex

CrewAI logo

CrewAI

Use Habitica MCP with CrewAI

FAQ

Frequently asked questions

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.

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.

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.

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.

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

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

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's immensely helped keep new users on the platform.

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Abhi Arya
Co-founder, Opennote

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

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CEO, Zams

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

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Founder, Extra Thursday

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

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Founder & CEO, SwarmZero

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.

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