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Continue reading →: [Step by Step] Host and Integrate C# MCP Server with Copilot Studio
In one of my previous articles : Create Your First Local MCP Server using C# , I explained how to build an MCP server using the C# SDK In this article, we’ll cover: What are dev tunnels? In this blog post, I’ll be using the Consuming an MCP server example available…
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Continue reading →: New Tool : ‘Cloud Flow Viewer’ for Power Automate Solutions
I’ve added Cloud Flow Viewer tool to my hobby project JayVish Problem Statement: Let’s say you’ve received a Dataverse solution—managed or unmanaged—either from a colleague or from a Open Source GitHub project (Example : Copilot Studio Kit). The solution contains several Power Automate cloud flows, and you want to quickly…
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Continue reading →: Power Automate Cloud Flow | Disable an action
Did you know you can disable a flow action without removing it entirely by turning on the Enable Static Result toggle? When the flow runs, this treats the action as successful without actually executing it. Let’s look at a simple example. I have a Power Automate cloud flow with two…
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Continue reading →: Copilot Studio | Configure Response formatting
In the previous blog post : Trigger Agent Flows from Topics, I configured a Topic with a Generative Message action to generate a registration confirmation message along with a motivational quote. When you test the agent, the response from the Generative Message action appears as shown below. But did you…
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Continue reading →: Copilot Studio | Trigger Agent Flows from Topics
In the previous blog post Build an Agent with ‘Knowledge’ and ‘Agent Flow’, I explained how to create a simple registration agent using both Knowledge and an Agent Flow. n that setup, the Agent Flow was not part of a Topic — it was invoked directly by the agent through…
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Continue reading →: Copilot Studio | Build an Agent with ‘Knowledge’ and ‘Agent Flow’
In this Copilot Studio Agent blog post, I’ll walk you through two key capabilities: We’ll explore these concepts using a simple use case. But before we dive in, let’s understand the basics. What are Agent Flows: Limitations: Now that you understand the basics of Agent Flows, let’s proceed with our…
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Continue reading →: Copilot Studio | Shared Tools
In my previous blog post : Detecting User’s Sentiment in chat I explained how to create a Prompt actions to determine the user’s sentiment and use it with in a topic. However, the Prompt Action was specific to that agent. If I receive a similar requirement in another agent, I would…
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Continue reading →: Copilot Studio | Debugging Agents with the ‘Save Snapshot’
Let’s say you’re testing an agent and encounter an exception. You want to troubleshoot the issue and understand which topic/tool caused the issue. Did you know you can capture the conversation content and diagnostic data, and save it as a file? This allows you to analyze the information and troubleshoot…
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Continue reading →: Copilot Studio | Detecting User’s Sentiment in chat
Microsoft Copilot Studio offers tools to build intelligent Agents. Imagine a user completes a support chat and says, “That was super helpful, thanks!”—you’d want your agent to recognize this positive sentiment and respond appropriately. In this beginner blog post, we’ll explore how to detect user sentiment and respond based on…
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Continue reading →: Microsoft Agent Framework | Introduction
In one of my previous articles, Getting Started with Semantic Kernel, I’ve touch based on Semantic Kernel ,an open-source development kit that helps you easily build AI agents and integrate the latest AI models. Similarly, Microsoft has AutoGen, an open-source programming framework for building AI agents. Now, Microsoft has combined both…
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Rajeev Pentyala – Technical Blog on Power Platform, Azure and AI 