LouieAug-2025
Deploys a Model Context Protocol (MCP) server and integrates it with Microsoft Copilot Studio to provide contextual information to large language models.
About
This tool serves as a comprehensive lab designed to guide users through the deployment and integration of a Model Context Protocol (MCP) server with Microsoft Copilot Studio. It illuminates how MCP, an open protocol by Anthropic, standardizes context provision to LLMs, facilitating seamless integration of knowledge servers and APIs. The lab demonstrates setting up a sample "Jokes MCP Server" both locally and on Azure, illustrating its connection to Visual Studio Code via GitHub Copilot and to Microsoft Copilot Studio for enhancing AI-powered agents. The project also emphasizes the symbiotic relationship between MCP servers and existing connector infrastructure, leveraging enterprise security and governance features for secure, real-time data access.
Key Features
- Support local development and Azure deployment workflows
- Provide real-time data access for AI-powered agents
- Utilize standard connector infrastructure for enterprise security
- Deploy Model Context Protocol (MCP) servers
- 0 GitHub stars
- Integrate with Microsoft Copilot Studio and GitHub Copilot
Use Cases
- Connecting external knowledge sources and APIs to Microsoft Copilot Studio agents
- Developing and testing custom MCP server implementations for LLM context
- Demonstrating Model Context Protocol (MCP) server deployment and integration
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