New Feature in Copilot 2025: All About Model Context Protocol
In one of our previous articles, we talked about the latest Microsoft Copilot updates in 2025. In March 2025, Microsoft did launch several new updates that have got a lot of people talking. One of the updates that has got the most attention is Model Context Protocol (MCP). Let us explore more about the feature and see how it can impact your business operations.
Things We Will Cover in This Article
In this article, we will try to cover some of the basics about Model Context Protocol – what it is all about, what you can do with it and how it can impact your everyday business operations. Here are some of the topics that we will cover in this article.
- What is Model Context Protocol?
- How Can it Impact Your Business
- How to Use it
- How Can Evolvous Help?
What is Model Context Protocol?
Model Context Protocols is a better and more efficient way to connect your Copilot with knowledge servers and external tools. Microsoft calls it “a powerful new way to streamline how you connect AI apps, APIs, and data sources into your (copilot) agents”.
MCP connectors will allow your Copilot agent to get seamless access to data, including names, inputs, outputs, and descriptions. The connectors will also keep all the data in sync as updates happen on the backend.
Microsoft has announced that it will continue to grow the library of pre-built, MCP-enabled connectors in the marketplace. This will make it faster for businesses and developers to connect with diverse sources without compromising on security and governance.
The feature is currently generally available since March 2025.
How Can it Impact Your Business?
Let us now delve a little deeper and find out how MCP can impact your business and its everyday operations.
Easily connect to data sources: Whether you have a custom internal API or external data providers, the MCP protocol makes Copilot Studio integration smooth and reliable
Access the marketplace of existing servers: As said before, users can now tap into a growing library of pre-built, MCP-enabled connectors available in the marketplace. This will give Copilot users more ways to connect with other tools in a faster and easier way.
Flexible action capabilities: MCP servers can dynamically provide tools and data to agents. Therefore, you will get greater flexibility while reducing maintenance and integration costs.
The bottom line is simple: MCP empowers your AI agents developed with Microsoft Copilot Studio by making it easier to access the latest data and therefore, deliver more impactful and relevant results.
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Let us look at how you can use MCP within Copilot
How to Use Model Context Protocol within Microsoft Copilot?
So, how to get started with using MCP within Copilot Studio. Let’s look at that.
The first thing that you need to do is to access your agent in Copilot Studio and then select ‘Add an action’. Following that, you need to search for your MCP server. Please note that you need to enable generative orchestration to use the MCP functionality.
Each tool that is published by the MCP server will be added automatically as an action in Copilot Studio. It also inherits the name, description, inputs and outputs. When the tools are updated on the MCP server, Copilot Studio will automatically reflect the changes.
On MCP server you can integrate and manage multiple tools, and they can be accessed as individual actions within Copilot Studio. This makes the overall process more efficient as it not only reduces manual effort but also reduces the risk of errors from outdated tools.
You will also have access to Software Development Kit (SDK) support. This will enable you to customize and add flexibility for your integrations. Here is the process that you need to follow to create your own MCP server:
- Create the Server: First, you will need to create an MCP server with an SDK. This will serve as the foundation for handling your data, models and interactions. You will be able to customize the server to align with your specific needs, like handling custom model types and data formats to support workflows.
- Publish through a Connector: After the MCP server is setup, you will need to create a custom connector that will link your Copilot Studio environment to the model or data source.
- Consume the data via Copilot Studio: Finally, you are ready to consume the data and interact with the models via Copilot Studio.
Just by following these three simple, straightforward steps, you will be able to create a streamlined, adaptable integration with Copilot Studio. This will not only connect the systems but also enhance your ability to maintain and scale it according to your needs.
How Can We Help as a Copilot Studio Consultant?
Evolvous is a certified Microsoft Solutions Partner, and we have been offering customized Microsoft Copilot Studio consulting over the years. Our team of experts will help you leverage MCP as well as other features of Microsoft Copilot Studio platform so build a robust AI assistant that will supercharge your everyday operations and help you drive up efficiency across the organization.
We will not help you set up the MCP but also ensure security and governance. This is essential, as it ensures that the Copilot agent uses your sensitive data without exposing it to security risks or errors in compliance.
Our team will also offer you the right training so that you and your team have the right skill to use the platform to its fullest potential.
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