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Copilot Studio AI Connector

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Developer Tools
Cloud Infrastructure
Deployment & DevOps

Enables deployment and integration of Model Context Protocol servers with Microsoft Copilot Studio to provide context to large language models.

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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

01Supports flexible deployment options: local server or Azure cloud
02Leverages Azure Developer CLI for streamlined cloud resource management
03Demonstrates use of connector infrastructure for enterprise security and governance
04Template for Model Context Protocol (MCP) server creation and deployment
05Comprehensive guide for integration with Microsoft Copilot Studio
060 GitHub stars

Use Cases

01Learning and experimenting with Model Context Protocol (MCP) server development and deployment workflows.
02Creating and integrating custom knowledge bases or APIs for LLMs in Copilot Studio.
03Extending AI agents within Copilot Studio with real-time data access from external sources.