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Kevin McDonnell and Garry Trinder delve into the world of Model Context Protocol (MCP) and its implications for developers. We start with a starter overview of functionality of MCP and why it is important. However, we wanted to get beyond that initial view that is covered elsewhere and look at some of the challenges associated with using MCP and broader considerations that you need to be looking at. The conversation covers the importance of optimizing documentation for language models, governance in MCP usage, and strategies for getting started with MCP and then scaling.

Takeaways

• MCP is a universal approach to context in AI.
• MCP servers can execute actions beyond API calls.
• Optimizing documentation for LLMs is essential for effective AI integration.
• Trust and governance are critical in using MCP servers.
• MCP can significantly enhance productivity in software development.
• Building an MCP server can be straightforward and quick.
• MCP allows for local execution of actions, enhancing flexibility.
• The future of MCP involves more robust governance and control mechanisms.
• Organizations should develop a strategy for managing MCP servers.
• Experimentation with MCP can lead to unexpected benefits and insights.

Useful links

Introduction - Model Context Protocol

Getting started with Local MCP Servers on Claude Desktop | Anthropic Help Center and For Claude Desktop Users – Model Context Protocol （MCP）

Use MCP servers in VS Code

Community built Graph MCP Server - GitHub - merill/lokka: MCP (Model Context Protocol) for Microsoft 365.

Azure AI Search:

Full text search - Azure AI Search | Microsoft Learn

Vector search - Azure AI Search | Microsoft Learn

Hybrid search - Azure AI Search | Microsoft Learn

MCP for beginners course - GitHub - microsoft/mcp-for-beginners

MCP Dev Days 29th/30th July (and available on demand after) - MCP Dev Days | Microsoft Reactor

Microsoft MCP Lab - GitHub - microsoft/mcsmcp: Lab for creating an MCP Server and using it in Microsoft Copilot Studio.

Microsoft's MCP Server collection - GitHub - microsoft/mcp: Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration

CLI for m365 MCP server - GitHub - pnp/cli-microsoft365-mcp-server: Manage Microsoft 365 using MCP server

GitHub - dotnet/dev-proxy: Simulate API failures, throttling, and chaos — all from your command line.

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Welcome to a brand new way of hearing about the latest Copilot extensibility news! In this episode of the Copilot Connection, Kevin swaps out Zoe for Garry Trinder in the first of a spin-off of episodes where we dig deeper into the extensibility side of Copilot.

In this first episode, we go into an overview of the options that you have for extending Copilot. We talk cover why you would need to extend Copilot, the different ways you can do that (whether by end user, maker or specialist) and touch a little on how you can actually get started with doing it.

Is there a specific topic that you'd like to see us cover? Let us know!

Takeaways

• Extensibility in Copilot allows developers to create tailored solutions.
• Understanding AI maturity is crucial for effective implementation.
• Personalization of AI tools enhances user experience and productivity.
• Scoping and context are essential for effective use of Copilot.
• Integrating external knowledge sources can enhance AI capabilities.
• Balancing deterministic and non-deterministic approaches is key in AI applications.
• Declarative agents simplify the process of building AI solutions.
• Responsible AI practices are necessary when developing custom solutions.
• Continuous learning and adaptation are vital in the evolving AI landscape.

Related links

• Copilot extensibility learning paths
• Copilot camp - no actual camping required
• Community samples
• Pro dev community samples

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With the post Build lull in Microsoft news, Zoe and Kevin decided to take a look at some of the upcoming conferences and recommend a few sessions that stood out in the Copilot and agents space. Firstly though, we couldn't resist talking a bit about the collapse of Builder.ai and the re-org of some of the Engineering management teams at Microsoft.

We also covered our next Copilot Fireside Chat where Daniel Laskewitz will be joining us to answer your questions on Copilot Studio, MCP and whatever else takes your fancy.

News:

• Microsoft-backed AI startup chatbots revealed to be human employees | Mashable
• Microsoft’s LinkedIn chief is now running Office as part of an AI reorg | The Verge

Conferences covered:

• European Power Platform Conference | Austria | Jun 16-19, 2025
• Commsverse 2025 - The Microsoft Teams Conference - Jun 18-19 2025
• Tech Con 365 Seattle - June 23-27 2025
• Collab Summit North America - Sep 7-9 2025
• ESPC25 | Conference | Ireland | Dec 1-4, 2025

Other ones we mentioned:

• Collab Days Netherlands - June 21 2025
• CollabDays Hamburg 2025 - June 28 2025
• CollabDays Finland 2025 - 11 Sep 2025
• Experts Live UK 2025 - 16 Sep 2025
• CollabDays Bletchley Park 2025 - 24 Sep 2025
• South Coast Summit - 17-18 Sep 2025

Check out other conferences at Community Days.

Takeaways

• Investors need to scrutinize AI startups more closely.
• The importance of responsible AI practices is paramount.
• Microsoft's leadership changes signal a new direction.
• AI's impact on employment is a growing concern.
• Community conferences are vital for networking and learning.
• AI literacy is essential for effective use of technology.
• Clothespilot demonstrates practical AI applications.
• Engaging with the community enhances knowledge sharing.
• Fireside chats provide valuable insights from industry experts.