Mcp
byxiruatms
0Provides a standardized interface for applications to supply contextual information to Large Language Models.
About
Implements the Model Context Protocol (MCP), an open standard by Anthropic, enabling applications to provide structured context to Large Language Models (LLMs). This reference implementation demonstrates how to deploy an MCP server, either locally via devtunnels or to Azure Container Apps, and integrate it seamlessly with AI agents in Microsoft Copilot Studio and Visual Studio Code's GitHub Copilot. It leverages existing connector infrastructure to ensure enterprise-grade security features like Virtual Network integration and Data Loss Prevention while supporting real-time data access for AI-powered agents.
Key Features
- Implements the Model Context Protocol (MCP)
- Supports local execution via VS Code DevTunnels
- Enables deployment to Azure Container Apps using Azure Developer CLI
- Integrates as a tool with Microsoft Copilot Studio and GitHub Copilot
- Leverages Power Platform connector infrastructure for enterprise security and governance
- 0 GitHub stars
Use Cases
- Demonstrating the deployment and integration of an MCP server
- Standardizing how applications provide context to AI agents
- Connecting AI models (LLMs, Copilot Studio agents) to external data sources and APIs