Model Context FAQs

Question 1

What is Model Context (MCP)?

Accepted Answer

Model Context (MCP) is an open protocol that standardizes how applications provide context to large language models (LLMs), enabling seamless connection of AI models to various data sources and tools.

Question 2

How does Model Context integrate with Microsoft Copilot Studio?

Accepted Answer

Model Context seamlessly integrates with Microsoft Copilot Studio by making MCP servers available via the Power Platform connector infrastructure, allowing direct use of existing knowledge servers and APIs.

Question 3

How can I deploy a Model Context server?

Accepted Answer

You can run a Model Context server locally for development or deploy it to Azure using the Azure Developer CLI, providing flexible deployment options for your AI integration needs.

Question 4

Does Model Context replace Power Platform connectors?

Accepted Answer

No, Model Context works 'better together' with Power Platform connectors. MCP servers utilize the existing connector infrastructure to deliver secure, real-time data access for AI agents within enterprise environments.

Question 5

What security and governance features does Model Context offer?

Accepted Answer

Leveraging Power Platform's connector infrastructure, Model Context provides enterprise-grade security and governance, including Virtual Network (VNet) integration, Data Loss Prevention (DLP), and various authentication methods.

Model Context

Model Context

Key Features

Use Cases

Key Features

Use Cases