Model Context
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Standardizes the connection of AI models to various data sources and tools.
关于
Model Context Protocol (MCP) is an open protocol defined by Anthropic that standardizes how applications provide context to Large Language Models (LLMs). This repository offers a practical lab for deploying an MCP Server and integrating it seamlessly with Microsoft Copilot Studio and other AI tools like GitHub Copilot. It enables AI models to securely access existing knowledge servers and APIs through established connector infrastructure, supporting features like real-time data access and enterprise-grade security controls.
主要功能
- Supports local execution and Azure deployment via Azure Developer CLI
- Seamless integration with Microsoft Copilot Studio
- Provides real-time data access for AI agents
- Standardized Model Context Protocol (MCP) implementation
- Leverages Power Platform connector infrastructure for enterprise security and governance (VNet, DLP, authentication)
- 0 GitHub stars
使用案例
- Integrating external knowledge bases and APIs with Microsoft Copilot Studio agents
- Enabling LLMs to access real-time data through a standardized protocol
- Demonstrating the deployment and connection of Model Context Protocol (MCP) servers
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