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Microsoft Copilot Studio ❤️ MCP

@Anilinfo2015

About Microsoft Copilot Studio ❤️ MCP

Sample MCP Server for testing

Basic information

Category

Other

License

MIT license

Runtime

node

Transports

stdio

Publisher

Anilinfo2015

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Microsoft Copilot Studio ❤️ MCP?

This lab teaches how to deploy an MCP (Model Context Protocol) Server and add it to Microsoft Copilot Studio using the Power Platform connector infrastructure. It is built for makers who want to integrate custom tools and data sources with AI agents.

How to use Microsoft Copilot Studio ❤️ MCP?

Follow the lab steps: create a private GitHub repository from the provided template, deploy an Azure Web App with Node 22 LTS runtime, create a custom Power Platform connector using the Swagger editor (replacing the dummy URL), then add the MCP server as an action in Microsoft Copilot Studio. The example uses joke-fetching tools (Chuck Norris, Dad, Yo Mama jokes) to test the integration.

Key features of Microsoft Copilot Studio ❤️ MCP

  • Standardized connection of AI models to data sources and tools.
  • Uses Power Platform connector infrastructure for enterprise governance.
  • Supports real-time data access for AI-powered agents.
  • Includes step-by-step deployment and configuration guide.
  • Provides a reference MCP server (joke API) for testing.

Use cases of Microsoft Copilot Studio ❤️ MCP

  • Deploying a custom MCP server to extend Copilot Studio agents.
  • Securely integrating external APIs into Copilot Studio using enterprise controls.
  • Building and testing a joke‑telling agent that calls an MCP server.
  • Learning how to create a Power Platform connector from an MCP server.

FAQ from Microsoft Copilot Studio ❤️ MCP

How does MCP differ from connectors?

MCP servers are made available to Copilot Studio using connector infrastructure, so they are not mutually exclusive. Connectors provide security and governance controls (Virtual Network, DLP, multiple auth methods) while MCP standardizes real-time data access for AI agents.

What are the prerequisites for this lab?

You need an Azure subscription with a payment method, a GitHub account, a Copilot Studio trial or developer account, and a Power Platform environment provisioned.

Where does the MCP server data live?

The MCP server runs on Azure as a Web App. The README warns that after the lab the server is publicly available and should be deleted when finished.

What runtime is required for the Azure Web App?

The lab specifies Node 22 LTS as the runtime stack.

What transport or authentication is used?

The custom connector uses the Swagger editor to define endpoints. Authentication is handled via the Power Platform connector setup; the lab mentions that user authentication appears during testing and requires manual connection approval.

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