-
securityF
license-
qualityA versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices.
Last updated -
13
Python
Serves as the runtime environment for the MCP server implementation
Provides integration with React through a Remix frontend, enabling real-time task management UI components that consume MCP server capabilities
Powers the frontend application that consumes MCP server tools, providing a modern React framework for building the user interface with real-time updates
Provides styling and responsive design for the MCP client interface
Used throughout the application to provide type safety for MCP server and client implementations
MCP Fullstack Application
A complete fullstack application demonstrating Model Context Protocol (MCP) integration with Convex backend and Remix frontend.
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and tools. This application demonstrates:
- MCP Server: Provides tools and resources for task management
- MCP Client: Consumes MCP server capabilities in a web interface
- Real-time Data: Live task management with Convex database
- Modern Stack: Remix frontend with TypeScript and Tailwind CSS
Project Structure
Features
- ✅ Task Management (CRUD operations)
- ✅ Real-time updates with Convex
- ✅ MCP Server with tools and resources
- ✅ Modern React frontend with Remix
- ✅ TypeScript throughout
- ✅ Responsive design with Tailwind CSS
Getting Started
Prerequisites
- Node.js 18+
- npm or yarn
- Convex account (free tier available)
Installation
- Clone the repository
- Install dependencies:
- Set up Convex backend:
- Set up frontend:
- Run both services:
MCP Integration
This application demonstrates MCP concepts:
MCP Server (Backend)
- Tools:
create_task,get_tasks,update_task,delete_task - Resources: Task database access
- Prompts: Task management templates
MCP Client (Frontend)
- Consumes MCP server tools
- Real-time UI updates
- Error handling and validation
Technology Stack
- Backend: Convex (serverless functions + database)
- Frontend: Remix (React framework)
- Database: Convex built-in database
- Styling: Tailwind CSS
- Language: TypeScript
- Protocol: Model Context Protocol (MCP)
Learning Objectives
By building this application, you'll learn:
- How MCP enables AI-data integration
- Convex serverless backend development
- Remix fullstack React development
- Real-time data synchronization
- Modern TypeScript patterns
Next Steps
- Add authentication
- Implement more MCP tools
- Add AI chat interface
- Deploy to production
- Extend with more data sources
Resources
This server cannot be installed
A complete fullstack application that demonstrates Model Context Protocol integration for AI assistants to securely connect to external data sources and tools, providing task management functionality with a Convex backend and Remix frontend.
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