# ignite25-LAB572-automate-your-enterprise-workflows-with-agent-365
**Repository Path**: mirrors_microsoft/ignite25-LAB572-automate-your-enterprise-workflows-with-agent-365
## Basic Information
- **Project Name**: ignite25-LAB572-automate-your-enterprise-workflows-with-agent-365
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-11-20
- **Last Updated**: 2025-11-22
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# [Microsoft Ignite 2025](https://ignite.microsoft.com)
## π₯LAB572: Automate your enterprise workflows with MCP Tools
### Session Description
This lab is designed to demonstrate the newest Model COntext Protocol (MCP) servers that have released to be used with agents that are part of Agent 365. There will be an introduction to Agent 365 and MCPs, and then hands-on experience building a Copilot STutio agent, configuring it, and then adding in the new MCP servers for mail, calendar, and Sharepoint. We will be using them together in increasinly complex queries that span multiple servers and tools. There will also be a demonstation of the new observability functinality that allows makers to see how the agents are performing.
### π§ Learning Outcomes
By the end of this session, learners will be able to:
- Describe Agent 365 and MCP servers
- Create a Copilot Studio agent that is configured to opnly provide answers and responses based on specific data sources
- Add MCP servers to an agent and test them to see hwo they work together and pass contextual data
- Understand how obserability works for agents that are part of Agent 365
### π» Technologies Used
1. Microsoft Copilot Studio
1. Model Context Protocol (MCP) servers for Outlook Mail, Outlook Calendar, and OneDrive and SharePoint
### π Microsoft Learn MCP Server
[](https://vscode.dev/redirect/mcp/install?name=microsoft.docs.mcp&config=%7B%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Flearn.microsoft.com%2Fapi%2Fmcp%22%7D)
The Microsoft Learn MCP Server is a remote MCP Server that enables clients like GitHub Copilot and other AI agents to bring trusted and up-to-date information directly from Microsoft's official documentation. Get started by using the one-click button above for VSCode or access the [mcp.json](.vscode/mcp.json) file included in this repo.
For more information, setup instructions for other dev clients, and to post comments and questions, visit our Learn MCP Server GitHub repo at [https://github.com/MicrosoftDocs/MCP](https://github.com/MicrosoftDocs/MCP). Find other MCP Servers to connect your agent to at [https://mcp.azure.com](https://mcp.azure.com).
*Note: When you use the Learn MCP Server, you agree with [Microsoft Learn](https://learn.microsoft.com/en-us/legal/termsofuse) and [Microsoft API Terms](https://learn.microsoft.com/en-us/legal/microsoft-apis/terms-of-use) of Use.*
### π Resources and Next Steps
| Resources | Links | Description |
|:-------------------|:----------------------------------|:-------------------|
| Ignite 2025 Next Steps | [https://aka.ms/Ignite25-Next-Steps](https://aka.ms/Ignite25-Next-Steps?ocid=ignite25_nextsteps_cnl) | Links to all repos for Ignite 2025 Sessions |
| Learn at Ignite | [https://aka.ms/LearnAtIgnite](https://aka.ms/LearnAtIgnite?ocid=ignite25_nextsteps_github_cnl) | Continue learning on Microsoft Learn |
## Content Owners
## Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit [Contributor License Agreements](https://cla.opensource.microsoft.com).
When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
## Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must follow
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.