Copilot Studio Integration
Facilitates the deployment and integration of a Model Context Protocol server with Microsoft Copilot Studio.
About
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
- Deploy MCP Servers to Azure using Azure Developer CLI
- Run MCP Servers locally for development and testing
- Seamless integration with Microsoft Copilot Studio
- Integration with GitHub Copilot in Visual Studio Code
- Leverages Power Platform connector infrastructure for enterprise security and governance
- 0 GitHub stars
Use Cases
- Develop and test custom Model Context Protocol servers
- Implement standardized context provision for Large Language Models
- Extend AI models in Microsoft Copilot Studio with external data and tools
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