What deployment options are available for MCP servers?

You can easily deploy MCP servers locally for development or to Azure using the Azure Developer CLI, providing flexible and scalable hosting solutions.

How does Copilot Studio Integration leverage MCP?

This tool facilitates deploying MCP servers and integrating them with Microsoft Copilot Studio, enabling your AI models and agents to access real-time external data for enhanced, context-aware responses.

What is the Model Context Protocol (MCP)?

MCP is an open protocol, defined by Anthropic, that standardizes how applications provide context and connect AI models to external data sources and tools, enhancing their capabilities.

Does MCP replace existing Power Platform connectors?

No, MCP servers utilize the existing Power Platform connector infrastructure. This 'better together' approach ensures enterprise-grade security, governance, and seamless data access for AI agents.

Copilot Studio Integration

Name: Copilot Studio Integration
Author: Sinan-Abbas07

0•

Facilitates deployment and integration of AI Model Context Protocol servers with Microsoft Copilot Studio to enhance AI model capabilities with external data sources.

This project serves as a comprehensive lab designed to guide users through the process of deploying a Model Context Protocol (MCP) server and seamlessly integrating it with Microsoft Copilot Studio. It demystifies MCP, an open protocol by Anthropic that standardizes how applications provide context to Large Language Models (LLMs), by demonstrating how to connect custom knowledge servers and APIs directly into Copilot Studio. The lab highlights the synergy between MCP servers and existing connector infrastructure, ensuring enterprise-grade security, governance, and real-time data access for AI-powered agents, providing a practical pathway for enhancing Copilot Studio's generative AI capabilities.

Key Features

010 GitHub stars

02Enable real-time data access for AI-powered agents

03Deploy MCP servers locally or to Azure using Azure Developer CLI

04Integrate custom MCP servers with Microsoft Copilot Studio

05Leverage existing Power Platform connector infrastructure for enterprise security and governance

06Standardize context provision for Large Language Models (LLMs)

Use Cases

01Connecting AI models in Copilot Studio to external data sources and APIs

02Extending Copilot Studio agents with real-time access to specialized knowledge servers

03Developing and testing custom Model Context Protocol servers for generative AI applications