About Habitica Mcp Server
Habitica MCP Server is an MCP server that lets AI assistants manage Habitica tasks, habits, pets and other gamified productivity data through the Habitica API. It suits users who want to control Habitica through conversation.
Key features
- 01Create, view, update and delete all task types
- 02Manage and score checklist items within tasks
- 03Record habit completions and daily tasks
- 04Hatch, feed and equip pets and mounts
- 05Browse the shop and list inventory
- 06Configure API credentials via environment variables or .env
Use cases
- 01Create habits or to-do items through conversation
- 02Review today's task list and mark tasks complete
- 03Add checklist items to a project task and track progress
MCP support
This project is an MCP server that exposes tools such as get_tasks, create_task and score_task so MCP clients can read and modify Habitica data.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
26Saved tool list · updated 3w ago
This tool takes no parameters.
Details
From the project READMEHabitica MCP Server
中文文档请阅读 README.zh-CN.md
A Model Context Protocol (MCP) server that lets AI assistants seamlessly interact with the Habitica API – create tasks, track habits, raise pets and enjoy gamified productivity.
✨ Features
🎮 Core Gameplay Features
- 📋 Smart task management – create / view / update / delete all task types
- ✅ Checklist management – add, update, delete and score checklist items within tasks
- 🎯 Habit tracking – record habit completions and build healthy routines
- 🐾 Pet raising – hatch and feed pets, watch them grow
- 🏇 Mount collection – manage and equip all kinds of mounts
- 🛍️ Shop & rewards – browse and buy in-game items
- ⚡ Skill system – cast class skills to enhance gameplay
📊 Data-oriented Features
- 👤 User profile – fetch detailed user information and stats
- 🏷️ Tag management – create and manage tags for better organisation
- 📬 Notification centre – read and manage system notifications
- 📦 Inventory – list every item and piece of equipment you own
🤖 AI Integration Highlights
- 🧠 Natural-language control – operate Habitica via conversation
- 📝 Task suggestions – AI can create tasks on demand
- 📈 Progress reporting – automatically track and summarise progress
- 🎨 Personalised experience – tailored recommendations based on your habits
🚀 Quick Start
Prerequisites
- Node.js 18+
- npm or yarn
- A valid Habitica account
Installation
- Clone the repo
git clone https://github.com/ibreaker/habitica-mcp-server.git
cd habitica-mcp-server
- Install dependencies
npm install
-
Set API credentials (see next section)
-
Start the server
npm start
⚙️ Configuration
Get Habitica API credentials
- Log into Habitica
- Click your avatar → Settings
- Open the API tab
- Copy User ID and API Token
Environment variables
Method A: export variables
export HABITICA_USER_ID="your-user-id"
export HABITICA_API_TOKEN="your-api-token"
Method B: .env file
HABITICA_USER_ID=your-user-id
HABITICA_API_TOKEN=your-api-token
⚠️ Security tip: never commit your API keys to version control.
🎯 Usage
Start the server
# Production
npm start
# Development (with reload)
npm run dev
MCP client integration
The server follows the MCP spec and works with any AI client that supports MCP. Example Claude Desktop config:
{
"mcpServers": {
"habitica-mcp-server": {
"command": "npx",
"args": ["-y", "habitica-mcp-server"],
"env": {
"HABITICA_USER_ID": "your-id",
"HABITICA_API_TOKEN": "your-token",
"MCP_LANG": "en" // or zh-CN
}
}
}
}
Example dialogue
User: "Create a habit for learning Python"
AI: "Sure, the habit has been created!"
User: "Show me today's tasks"
AI: "Here is your task list for today…"
User: "Add a checklist item to my project task: 'Review code'"
AI: "Added checklist item 'Review code' to your project task!"
User: "I finished my workout, please record it"
AI: "Great job! The workout is logged."
🛠️ Available Tools
User Related
get_user_profile: Get user profile informationget_stats: Get user statisticsget_inventory: Get inventory list
Task Management
get_tasks: Get task list (can specify type: habits, dailys, todos, rewards)create_task: Create new taskupdate_task: Update taskdelete_task: Delete taskscore_task: Complete task or record habit
Checklist Management
get_task_checklist: Get checklist items for a taskadd_checklist_item: Add checklist item to taskupdate_checklist_item: Update checklist itemdelete_checklist_item: Delete checklist itemscore_checklist_item: Score checklist item (mark complete/incomplete)
Tag Management
get_tags: Get tag listcreate_tag: Create new tag
Pets and Mounts
get_pets: Get pet listfeed_pet: Feed pethatch_pet: Hatch petget_mounts: Get mount listequip_item: Equip pet, mount or equipment
Shop and Purchases
get_shop: Get shop item listbuy_item: Buy shop itembuy_reward: Buy reward
Notification Management
get_notifications: Get notification listread_notification: Mark notification as read
Skill System
cast_spell: Cast spell
📖 API Usage Examples
Create Task
{
"type": "todo",
"text": "Complete project documentation",
"notes": "Including API docs and user guide",
"difficulty": 1.5,
"priority": 2,
"checklist": [
{"text": "Write API documentation", "completed": false},
{"text": "Create user guide", "completed": false},
{"text": "Review and proofread", "completed": false}
]
}
Complete Task
{
"taskId": "task-id-here",
"direction": "up"
}
Get Specific Task Type
{
"type": "todos"
}
Pet Management
{
"pet": "Wolf-Base",
"food": "Meat"
}
Buy Item
{
"itemKey": "armor_warrior_1",
"quantity": 1
}
Checklist Management
// Add checklist item
{
"taskId": "task-id-here",
"text": "Research requirements"
}
// Update checklist item
{
"taskId": "task-id-here",
"itemId": "checklist-item-id",
"text": "Updated item text",
"completed": true
}
// Score checklist item (toggle completion)
{
"taskId": "task-id-here",
"itemId": "checklist-item-id"
}
Task Types
habit: Habit (can be recorded positively or negatively)daily: Daily task (resets every day)todo: To-do item (one-time task)reward: Reward (can be purchased with gold)
Difficulty Levels
0.1: Easy1: Medium1.5: Hard2: Extreme
Priority Levels
0.1: Low1: Medium1.5: High2: Extreme
🔧 Troubleshooting
Common Issues
Issue: Server startup failed
Solution:
1. Check Node.js version is 18+
2. Confirm environment variables are set correctly
3. Verify API credentials are valid
Issue: API call failed
Solution:
1. Check network connection
2. Verify Habitica API credentials
3. Confirm API rate limits haven't been exceeded
Issue: Task or pet not found
Solution:
1. Confirm task ID is correct
2. Check if task exists in Habitica
3. Verify user permissions
Debug Mode
# Enable verbose logging
DEBUG=* npm start
Get Help
- 📚 Check Habitica API Documentation
- 🐛 Submit Issues
🤝 Contributing
We welcome all forms of contributions!
How to Contribute
- Fork this project
- Create feature branch (
git checkout -b feature/AmazingFeature) - Commit changes (
git commit -m 'Add some AmazingFeature') - Push to branch (
git push origin feature/AmazingFeature) - Create Pull Request
Development Guidelines
- Follow existing code style
- Add appropriate tests
- Update relevant documentation
- Ensure all tests pass
📄 License
This project is open source under the MIT License - see the LICENSE file for details.
🌟 Acknowledgments
- Thanks to Habitica for providing an excellent API
- Thanks to Anthropic for the MCP protocol
- Thanks to all contributors and users for their support
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.