MCP Integration Overview¶

Asset Optics integrates with AI assistants through the Model Context Protocol (MCP), enabling you to automate task creation, project planning, and workflow management using natural language.

What is MCP?¶

MCP (Model Context Protocol) is a standard that allows AI assistants to interact with external tools and services. With Asset Optics MCP integration, your AI assistant becomes a powerful project management helper.

Supported AI Tools¶

Asset Optics MCP integration works with:

Tool	Description
Claude Desktop	Anthropic's desktop AI assistant
Cursor	AI-powered code editor
VS Code	With compatible MCP extensions
ChatGPT	With MCP plugin support
Other MCP-compatible tools	Any tool supporting the MCP protocol

What AI Can Do¶

With MCP integration, your AI assistant can:

Project Management¶

Create projects from descriptions
Set up milestones based on your timeline
Generate task breakdowns for features

Task Operations¶

Create tasks with priorities and assignments
Update task status (Todo, In Progress, Done)
Add checklists to tasks
Add comments and notes

Planning¶

Generate project plans from feature descriptions
Create sprint structures for agile workflows
Suggest task breakdowns for complex features

Queries¶

List projects and their status
Show task progress and blockers
Report milestone status

Example Interactions¶

Creating a Plan¶

You: "Create a milestone plan for implementing a dialogue system"

AI Response: Creates a plan with:

Milestone: "Dialogue System Implementation"
Tasks: "Design data structure", "Create UI widget", "Implement parser", etc.

Adding Tasks¶

You: "Add a high priority task to create the player death animation"

AI Response: Creates the task with:

Title: "Create player death animation"
Priority: High
Status: Todo

Checking Progress¶

You: "What's the status of the Alpha milestone?"

AI Response: Reports:

Progress: 65% complete
Tasks remaining: 12
Blocked tasks: 2
Due date: March 15, 2026

Safety: Human-in-the-Loop¶

All AI-generated changes require your approval:

flowchart LR
    A[AI Generates Plan] --> B[Plan Badge Appears]
    B --> C[You Review Changes]
    C --> D{Decision}
    D -->|Approve| E[Changes Applied]
    D -->|Reject| F[Plan Discarded]

How It Works¶

AI Creates a Plan: The AI generates proposed changes
Plan Notification: A "Plan" badge appears in the Asset Optics header
Review the Plan: Click to see exactly what will be created/changed
Approve or Reject:
Approve: Changes are applied to your project
Reject: Plan is discarded, no changes made
Audit Trail: All actions are logged

Why This Matters¶

You maintain full control over your project
No accidental or unwanted changes
Review AI suggestions before they take effect
Complete visibility into AI actions

MCP Status Indicator¶

The Account tab shows your AI assistant connection status:

Status	Meaning
MCP Connected	Shows number of active tokens
MCP Available	No tokens yet, shows setup instructions
No MCP	Feature not configured

Getting Started¶

Ready to connect your AI assistant?

Benefits¶

For Solo Developers¶

Quickly plan projects with AI help
Generate task breakdowns from feature ideas
Stay organized without manual overhead

For Teams¶

AI can draft plans for team review
Consistent task creation and formatting
Faster project bootstrapping

For Game Jams¶

Rapid project setup
Quick task generation under time pressure
Focus on making games, not managing tasks