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Copilot Studio: Extend your Agent with Model Context Protocol (MCP)

Leave a Comment / Copilot Studio / Vinoth Selvam

What is MCP? Model Context Protocol (MCP) represents a new standard for building secure and scalable AI extensions. In this blog, we explore how MCP enables developers to build modular, plug-and-play capabilities that Copilot Studio agents can invoke, making the agents more powerful, contextual, and personalized. Model Context Protocol (MCP) allows users to connect with existing […]

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Copilot Studio: Create your first Autonomous Agent

Leave a Comment / Copilot Studio / Vinoth Selvam

Autonomous agents are advanced AI systems designed to operate independently, managing and automating complex business tasks to enhance efficiency and innovation within an organization. Unlike simpler retrieval-based or task-based agents, autonomous agents do not require constant human input. Instead, they are pre-programmed to respond to specific triggers or events. Key Characteristics: Sample Scenario: An autonomous agent

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Copilot Studio : How to use Inputs on Topics

Leave a Comment / Copilot Studio / Vinoth Selvam

Inputs on topics in Copilot Studio are used to capture information directly from users to dynamically guide the conversation and provide personalized answers. These inputs allow you to define fields where users can enter specific data during a conversation flow, which the Co-pilot uses to generate tailored responses based on that input. This Feature of

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Copilot Studio: Extend your Agent with Model Context Protocol (MCP)

Copilot Studio: Create your first Autonomous Agent

Copilot Studio : How to use Inputs on Topics

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