MCP Stytch Consumer Todo List
This is a full-stack application based on Cloudflare Workers that combines a React front-end, REST API, and MCP server functionality, using Stytch for user authentication. The project demonstrates how to extend a traditional application into a solution that supports AI agents.
rating : 2.5 points
downloads : 8.2K
What is the Stytch TODO App?
This is a modern task management application that integrates user authentication, REST API, and AI agent interaction features. The front-end of the application is built with React, and the back-end uses the Cloudflare Workers technology stack.How to use this application?
Users can access the application interface through a browser to manage to-do items, and AI agents can interact with the server through the MCP protocol.Use cases
Suitable for personal task management, team collaboration, and scenarios that require AI assistants to help handle tasks.Main features
User authentication
Use Stytch to provide secure user login and identity management.
Task management API
Perform create, read, update, and delete operations on tasks through the REST API.
MCP protocol support
Support AI agents to interact with the server through the Model Context Protocol.
Cloudflare integration
Use technologies such as Workers, KV storage, and Durable Objects.
Advantages
Fast deployment - One-click deployment to Cloudflare Workers
Secure and reliable - Use Stytch for professional authentication
AI-friendly - Built-in MCP protocol supports AI agent interaction
High performance - Based on the Cloudflare edge network
Limitations
Requires a Cloudflare account
The free plan has resource limitations
The MCP protocol requires specific client support
How to use
Set up a Stytch account
Create a project in the Stytch dashboard and obtain the API key.
Configure environment variables
Copy.env.template to.env.local and fill in your Stytch public key.
Run locally
Start the development server.
Deploy to Cloudflare
Deploy with one click or manually configure KV storage and then deploy.
Usage examples
Personal task management
Users manage daily to-do items through the browser interface.
AI assistant integration
AI agents read and update user tasks through the MCP protocol.
Frequently asked questions
Do I need to pay to use this application?
How to test the MCP server functionality?
Where is the application data stored?
Related resources
Stytch documentation
Official documentation for the Stytch authentication service
Cloudflare Workers documentation
Cloudflare Workers development guide
MCP protocol official website
Official introduction to the Model Context Protocol
GitHub repository
Project source code

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