Microsoft Copilot

Name: Microsoft Copilot
Author: JcBouquin

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Enables the deployment and integration of Model Context Protocol (MCP) servers with Microsoft Copilot Studio, providing AI models with standardized access to contextual data and tools.

Model Context Protocol (MCP) is an open standard that dictates how applications supply context to Large Language Models (LLMs). This tool provides a hands-on lab environment to learn how to deploy an MCP server, either locally or to Azure, and seamlessly integrate it into Microsoft Copilot Studio. By leveraging existing connector infrastructure, MCP servers benefit from enterprise-grade security, governance, and real-time data access, enhancing the capabilities of AI-powered agents within Copilot Studio. It demonstrates a 'better together' approach where MCP and connectors collaborate to extend AI model functionality.

主な機能

01Deploy MCP servers locally for development or to Azure for production environments

02Utilize enterprise security features like Virtual Network, Data Loss Prevention, and multiple authentication methods

03Integrate MCP servers with Microsoft Copilot Studio using custom connectors

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05Provide real-time data access to AI-powered agents within Copilot Studio

06Guided lab environment for learning MCP deployment and integration workflows

ユースケース

01Connecting AI models in Microsoft Copilot Studio to custom knowledge servers and APIs

02Building advanced AI agents that can access and leverage external contextual data

03Experimenting with and learning the Model Context Protocol (MCP) for LLM integration