Model Context
Provides a standardized way to connect AI models to different data sources and tools by implementing the Model Context Protocol.
关于
The Model Context Protocol (MCP) is an open standard, defined by Anthropic, designed to facilitate a standardized way for applications to furnish context to Large Language Models (LLMs). This tool serves as an implementation of the MCP, enabling seamless integration of existing knowledge servers and APIs directly into Microsoft Copilot Studio. By leveraging existing connector infrastructure, MCP servers can benefit from enterprise-grade security features such as Virtual Network integration, Data Loss Prevention, and various authentication methods, ensuring real-time and secure data access for AI-powered agents.
主要功能
- Standardized context provision for LLMs
- Seamless integration with Microsoft Copilot Studio
- Leverages connector infrastructure for enterprise security and governance
- Supports real-time data access for AI-powered agents
- Deployable locally or to Azure via Azure Developer CLI
- 0 GitHub stars
使用案例
- Standardizing context provision for diverse AI applications.
- Integrating custom data sources and APIs with LLMs in Microsoft Copilot Studio.
- Enabling secure, real-time data access for AI-powered agents.
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