Copilot Studio Integration
Facilitates deployment and integration of AI Model Context Protocol servers with Microsoft Copilot Studio to enhance AI model capabilities with external data sources.
About
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
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- Enable real-time data access for AI-powered agents
- Deploy MCP servers locally or to Azure using Azure Developer CLI
- Integrate custom MCP servers with Microsoft Copilot Studio
- Leverage existing Power Platform connector infrastructure for enterprise security and governance
- Standardize context provision for Large Language Models (LLMs)
Use Cases
- Connecting AI models in Copilot Studio to external data sources and APIs
- Extending Copilot Studio agents with real-time access to specialized knowledge servers
- Developing and testing custom Model Context Protocol servers for generative AI applications
