Microsoft Copilot Studio
Deploys an MCP server and integrates it with Microsoft Copilot Studio, allowing seamless integration of knowledge servers and APIs.
About
This project simplifies the deployment and integration of a Model Context Protocol (MCP) server with Microsoft Copilot Studio. MCP standardizes how applications provide context to Large Language Models (LLMs), enabling Copilot Studio to seamlessly connect to various data sources and tools. By using connector infrastructure, the project ensures enterprise-grade security and governance controls, allowing developers to enhance AI-powered agents with real-time data access. The included instructions cover local server setup or Azure deployment, followed by integration with either Visual Studio Code or Microsoft Copilot Studio.
Key Features
- Enables integration with Microsoft Copilot Studio using connector infrastructure
- Simplifies MCP server deployment to Azure or local environment
- Allows connection to knowledge servers and APIs
- 0 GitHub stars
- Supports enterprise security and governance controls
- Provides instructions for Visual Studio Code and Microsoft Copilot Studio integration
Use Cases
- Adding custom APIs to Copilot Studio
- Connecting Copilot Studio to existing knowledge servers
- Integrating real-time data into AI-powered agents
