@Anilinfo2015
Basic information
Sample MCP Server for testing
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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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.
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.
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.
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.
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.
The lab specifies Node 22 LTS as the runtime stack.
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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