MCP Container Ts
This project is a remote Model Context Protocol (MCP) server based on Node.js and TypeScript, deployed in Azure Container Apps, used to implement standardized communication between AI models and tools. It provides a quick start guide, supports local development, GitHub Codespaces, and Azure deployment, and includes SSE protocol implementation, SQLite database integration, and tool interaction features.
rating : 2 points
downloads : 9
What is the MCP Server?
The Model Context Protocol (MCP) server acts as a bridge between different AI models and tools, allowing them to communicate and collaborate using a standardized protocol. This implementation runs on Azure Container Apps for serverless scalability.How to use the MCP Server?
You can connect to the MCP server from various clients like VS Code or MCP Inspector. The server supports Server-Sent Events (SSE) for real-time communication with AI tools.Use Cases
Ideal for AI-assisted development workflows, where different tools need to coordinate tasks like code generation, documentation, or task management through a central protocol.Key Features
Serverless DeploymentRuns on Azure Container Apps with automatic scaling and pay-per-use pricing
SSE Protocol SupportImplements Server-Sent Events for real-time communication between tools
Tool IntegrationBuilt-in support for todo management tools with SQLite storage
Pros and Cons
Advantages
Easy deployment with Azure Developer CLI (azd)
Cost-effective serverless operation
Standardized protocol for tool interoperability
Limitations
Currently only implements SSE transport (no HTTP support in this version)
Requires separate MCP client/host implementation for full functionality
In-memory SQLite database (not persistent across restarts)
Getting Started
Set up development environment
Choose between GitHub Codespaces, VS Code Dev Containers, or local setup
Run the server
Start the MCP server locally for testing
Connect from client
Configure your MCP client (VS Code or MCP Inspector) to connect to the server
Deploy to Azure
Use Azure Developer CLI to deploy to Container Apps
Usage Scenarios
AI-Assisted Task ManagementUse AI tools to manage your todo list through natural language commands
Tool CoordinationDifferent AI tools can coordinate through the MCP server to complete complex tasks
Frequently Asked Questions
Do I need Azure account to use this?
What clients support MCP protocol?
Is the data persisted?
Additional Resources
MCP Protocol Documentation
Official documentation of the Model Context Protocol
Azure Container Apps Docs
Microsoft's official documentation for Azure Container Apps
Complete MCP Solution Example
Repository with full MCP implementation including host and clients
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