AI Todo FAQs

Question 1

What is AI Todo?

Accepted Answer

AI Todo is an end-to-end demonstration of an API-first Model Context Protocol (MCP) approach. It features a FastAPI backend exposing both a REST API and an MCP endpoint, alongside a Next.js client for todo management and an AI chat interface.

Question 2

How does AI Todo use the Model Context Protocol (MCP)?

Accepted Answer

AI Todo leverages MCP to expose server-side todo management logic as tools that can be invoked by AI assistants. This allows AI to automate workflows like listing, creating, updating, or deleting todos, using the same backend logic as the traditional UI.

Question 3

What are the core technologies used in AI Todo?

Accepted Answer

The project combines a FastAPI backend for API and MCP endpoints, and a Next.js frontend for the multi-tab UI. It also utilizes the MCP client SDK and integrates with an LLM (like Gemini) for the AI chat feature.

Question 4

What are the benefits of AI Todo's 'API-first' architecture?

Accepted Answer

The API-first approach ensures the FastAPI backend is the single source of truth, exposing capabilities consistently via REST API for the UI and MCP tools for AI assistants. This keeps the Next.js frontend thin and avoids duplicating server logic.

Question 5

Can AI assistants interact with todo items in AI Todo?

Accepted Answer

Yes, AI assistants connected to AI Todo's MCP endpoint can directly invoke server-side tools (e.g., list_todos, create_todo, update_todo, delete_todo) to manage todo items, mirroring the functionality available through the UI.

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