Microsoft Copilot
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.
About
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.
Key Features
- Deploy MCP servers locally for development or to Azure for production environments
- Utilize enterprise security features like Virtual Network, Data Loss Prevention, and multiple authentication methods
- Integrate MCP servers with Microsoft Copilot Studio using custom connectors
- 0 GitHub stars
- Provide real-time data access to AI-powered agents within Copilot Studio
- Guided lab environment for learning MCP deployment and integration workflows
Use Cases
- Connecting AI models in Microsoft Copilot Studio to custom knowledge servers and APIs
- Building advanced AI agents that can access and leverage external contextual data
- Experimenting with and learning the Model Context Protocol (MCP) for LLM integration