Copilot Studio AI Connector
Enables deployment and integration of Model Context Protocol servers with Microsoft Copilot Studio to provide context to large language models.
About
This tool serves as a comprehensive template and lab guide designed to facilitate the deployment and seamless integration of Model Context Protocol (MCP) servers with Microsoft Copilot Studio. It illuminates MCP, an open protocol from Anthropic for standardizing how applications provide context to Large Language Models (LLMs). The project demonstrates how MCP servers can leverage existing connector infrastructure, providing robust enterprise security and governance controls while enabling real-time data access for AI-powered agents. It offers detailed instructions for both local development and Azure deployment, culminating in a practical example of integrating a sample 'Jokes MCP Server' with Visual Studio Code (GitHub Copilot) and Microsoft Copilot Studio.
Key Features
- Supports flexible deployment options: local server or Azure cloud
- Leverages Azure Developer CLI for streamlined cloud resource management
- Demonstrates use of connector infrastructure for enterprise security and governance
- Template for Model Context Protocol (MCP) server creation and deployment
- Comprehensive guide for integration with Microsoft Copilot Studio
- 0 GitHub stars
Use Cases
- Learning and experimenting with Model Context Protocol (MCP) server development and deployment workflows.
- Creating and integrating custom knowledge bases or APIs for LLMs in Copilot Studio.
- Extending AI agents within Copilot Studio with real-time data access from external sources.
