How does MCP differ from connectors?
MCP servers are made available to Copilot Studio using connector infrastructure, so they are better together. MCP leverages the same enterprise security and governance controls as connectors.
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Basic information
Silent-office MCP server (silentoffices.com)
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 provides an MCP server that delivers jokes and demonstrates how to deploy and integrate a Model Context Protocol server with Microsoft Copilot Studio. It is for makers and developers who want to connect AI models to data sources via the MCP standard.
Clone the template repository, install dependencies with npm install, and run the server locally with npm run build && npm run start, or deploy to Azure using azd up. Then import the MCP connector into Copilot Studio from GitHub, create an agent, and add the server as a tool.
MCP servers are made available to Copilot Studio using connector infrastructure, so they are better together. MCP leverages the same enterprise security and governance controls as connectors.
Visual Studio Code, Node v22, Git, Azure Developer CLI, an Azure subscription, a GitHub account, a Copilot Studio trial or developer account, and a Power Platform environment with the “Get new features early” toggle enabled.
The MCP server runs locally via a dev tunnel or is deployed to Azure Container Apps. Data is accessed in real-time; no permanent storage is described.
The server uses Streamable HTTP with an `/mcp` endpoint. Authentication is handled through the connector infrastructure; the lab uses user authentication via the action wizard.
Yes, there are known issues and planned improvements listed at [aka.ms/mcsmcp](https://aka.ms/mcsmcp). For example, after importing the connector, a warning and error may appear but can be ignored.
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