AI-Powered Automation • Released April 2025

Hubstaff MCP Server

Task automation using Model Context Protocol and Claude Code integration

Transform your markdown planning documents into organized Hubstaff tasks automatically. Built by game developers, for game developers who need efficient project management without the overhead.

View on GitHub Documentation

The Challenge We Solved

Game development involves complex project management with multiple moving parts - art assets, code features, design iterations, QA cycles, and milestone deliveries.

Traditional task management requires manual entry of every task, constant updates, and careful organization. This overhead takes time away from what matters: creating great games.

Our AI-Powered Solution

Write project plans in simple markdown format

AI reads, understands context, and organizes tasks

Automatically creates tasks in Hubstaff with proper labeling

AI-Powered Features

Built with Model Context Protocol (MCP) technology for modern AI automation

Smart Task Creation

• Natural Language Processing
• Smart Organization
• Duplicate Prevention
• Context Awareness

Label Management

• Unified Labeling System
• Game Development Focused
• Custom Categories
• Priority Intelligence

Easy Integration

• Claude Code Ready
• Markdown Sync
• Real-time Updates
• Cross-Platform

Developer Experience

• One-Command Setup
• Rich Documentation
• Open Source (MIT)
• Battle-Tested

Powered by Model Context Protocol

We're early adopters of Anthropic's new Model Context Protocol (MCP), positioning Angry Shark Studio at the forefront of AI automation technology.

Universal AI Integration

MCP allows smooth connections between AI systems and external tools, breaking down data silos.

Context-Aware Automation

AI maintains context across different tools and datasets for intelligent decision-making.

Future-Proof Architecture

Built on open standards that will power the future of AI-integrated workflows.

Technical Innovation

Modern Python Architecture

• Async/Await patterns for high performance
• Pydantic models for type-safe validation
• Comprehensive testing with pytest

Intelligent Web Automation

• Playwright for reliable browser control
• Dynamic content handling
• Error resilience and recovery

Developer-First Design

• Clear documentation and examples
• Modular, extensible architecture
• Production-ready configuration

Perfect for Game Development

Game Development Sprint Planning

Convert game feature specifications into organized development tasks

QA & Bug Tracking Automation

Transform bug reports into prioritized, trackable tasks

Asset Pipeline Management

Organize art, audio, and marketing asset creation workflows

Milestone Coordination

Manage complex release schedules and certification requirements

Example: Sprint Planning Made Easy

# Game Feature: Player Inventory System

**Project:** AwesomeGame
**Sprint:** Sprint 12

## Programming Tasks
- **Implement Inventory Data Structure**
  - **Labels:** High Priority, Programming, Core Feature
  - **Description:** Create base inventory system with item storage
  
- **Design Inventory UI Layout**
  - **Labels:** Medium Priority, UI/UX, Art
  - **Description:** Create mockups for inventory interface

Result: Instantly creates organized tasks in Hubstaff with proper categorization, ready for your team to tackle.

Technical Specifications

Built with modern Python practices and advanced AI technology

Language

Python 3.8+

Architecture

Async/Await with Pydantic Models

Web Automation

Playwright for reliable browser control

AI Integration

Model Context Protocol (MCP)

Package Management

Modern pyproject.toml configuration

Testing

Comprehensive async test suite

License

MIT (Open Source)

Platforms

Windows, macOS, Linux

Technologies Used

Python MCP Playwright Claude Code Pydantic Async/Await

Open Source & Community Driven

Great tools should be available to everyone. By open-sourcing this project, we're contributing to the game development community and showing the technical skills that powers our studio.

MIT Licensed

Completely free and open source

Community Driven

Contributions and feedback welcome

Production Ready

Battle-tested at Angry Shark Studio

Why We Built This

As a game development studio, we faced the same project management challenges every creative team encounters. We believe AI should enhance creativity, not replace it. By automating tedious project management tasks, our team can focus on what we do best: creating AR/VR experiences and engaging games.

Frequently Asked Questions

Common questions about our MCP automation server and AI workflow integration

What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is Anthropic's open standard that provides secure, two-way connections between AI systems and external data sources. It allows AI assistants like Claude to access and interact with various tools and services while maintaining context across different systems. Our MCP server uses this protocol to create intelligent workflow automation that understands your project management needs.

How does the markdown-to-task conversion work?

Our AI system reads your markdown planning documents, understands the structure and context, then intelligently creates organized tasks in Hubstaff. It automatically assigns appropriate priorities, tags, and categories based on the content. The system also prevents duplicates and maintains consistency across your project management workflow.

What are the technical requirements?

System Requirements:

• Python 3.8 or higher
• Claude Code or compatible MCP client
• Active Hubstaff account with API access
• 2GB RAM minimum for browser automation
• Windows, macOS, or Linux operating system
• Internet connection for API communication

Is this suitable for game development teams?

Absolutely! The system was specifically designed by game developers for game development workflows. It understands common game development tasks like: art asset creation, programming features, QA testing, multiplayer implementation, and milestone coordination. The AI automatically categorizes tasks by discipline (programming, art, design, QA) and assigns appropriate priorities based on game development best practices.

Can I customize it for my team's workflow?

Yes! Being open source (MIT license), you can fully customize the system. You can modify task categorization rules, add custom integrations, change automation behaviors, and extend it to work with other project management tools beyond Hubstaff. The modular Python architecture makes it easy to adapt to your specific needs. We also offer professional consulting for custom implementations.

How secure is the automation?

Security is a top priority. The system runs locally on your machine, your API credentials are stored securely in environment variables, and all communication uses HTTPS encryption. The browser automation includes comprehensive error handling and recovery mechanisms. Since it's open source, you can audit the entire codebase and verify there are no security vulnerabilities or data leaks.

Do you provide support and updates?

Yes! As an actively maintained open source project by Angry Shark Studio, we provide regular updates, bug fixes, and feature improvements. Community support is available through GitHub discussions and issues. For enterprise customers, we offer professional support, custom development, and training services. The project follows semantic versioning and maintains backward compatibility.

Can I integrate this with other tools besides Hubstaff?

While the current version focuses on Hubstaff integration, the MCP architecture makes it extensible to other project management tools. The core AI logic for parsing markdown and understanding tasks can be adapted to work with Jira, Asana, Trello, Linear, or any tool with an API. Contact us if you need integration with specific tools - we can provide custom development services or guidance for community contributions.

Have More Questions?

Get in touch with our team for technical support, custom development, or implementation guidance.

Contact Our Team View on GitHub

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