Copilot Studio Context Framework
Provides an open protocol to standardize how applications deliver context to Large Language Models (LLMs) from various data sources and tools, enabling seamless integration with Microsoft Copilot Studio.
About
This project offers a template for deploying a Model Context Protocol (MCP) server, an open protocol designed to standardize context provision to LLMs. It enables seamless integration of external knowledge servers and APIs directly into Microsoft Copilot Studio, leveraging existing Power Platform connector infrastructure for enterprise-grade security, governance, and real-time data access. This allows makers to extend Copilot Studio agents with diverse data sources while maintaining robust security and management capabilities.
Key Features
- Provides a template for building custom Model Context Protocol (MCP) servers
- Enables standardized context provision from applications to Large Language Models (LLMs)
- Facilitates seamless integration with Microsoft Copilot Studio agents and GitHub Copilot
- Leverages Power Platform connector infrastructure for enterprise security and governance controls
- Supports flexible deployment options, including local development and Azure Container Apps
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Use Cases
- Developing custom AI agents with real-time data access capabilities
- Integrating external knowledge bases, databases, or APIs directly into Microsoft Copilot Studio agents
- Standardizing and securely delivering application-specific context to LLMs
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