Facilitates the deployment and integration of a Model Context Protocol server with Microsoft Copilot Studio.
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This tool provides a practical lab for deploying a Model Context Protocol (MCP) server and integrating it seamlessly with Microsoft Copilot Studio. It explores how MCP, an open protocol defined by Anthropic, standardizes context provision to Large Language Models (LLMs), enabling makers to connect AI models to diverse data sources and tools directly within Copilot Studio. The lab demonstrates both local execution and Azure deployment options, highlighting how MCP leverages existing connector infrastructure to ensure enterprise-grade security and governance controls while supporting real-time data access for AI-powered agents.
Key Features
01Deploy MCP Servers to Azure using Azure Developer CLI
02Run MCP Servers locally for development and testing
03Seamless integration with Microsoft Copilot Studio
04Integration with GitHub Copilot in Visual Studio Code
05Leverages Power Platform connector infrastructure for enterprise security and governance
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Use Cases
01Develop and test custom Model Context Protocol servers
02Implement standardized context provision for Large Language Models
03Extend AI models in Microsoft Copilot Studio with external data and tools
