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Copilot Studio Architecture Bootcamp - MCP and Agent SDK.PPTX
- 1. Introduction to MCP,CUA and M365 Agents SDK Copilot Studio Architecture Bootcamp
- 2. WE LEARNED THAT LLMsneed help with complex APIs & Connectors
- 3. Model Context Protocol Auniversal interface that allows AI models to interact with external tools, data sources, and user environments in a consistent and scalable way PREVIEW Standardized Context for AI Models Seamless Integration with Copilot Studio Improved Developer Efficiency and UX Governance, Monitoring, Extensibility
- 4. Model Context Protocol(MCP): Unlocking AI’s potential with Copilot Studio What is MCP? • A universal protocol by Anthropic (Nov 2024) enabling Large Language Models (LLMs) to seamlessly interact with external tools and data sources without custom integrations. • Acts as a universal connector (think USB-C for AI), providing standardized, real-time interaction between AI and various apps, services, or data.
- 5. MCP vs. traditionalapproaches Plain LLM: Limited to static knowledge, no external data access (e.g., an isolated librarian only having access to their books). LLM + Connectors: Custom-coded integration for each tool (complex, unscalable). I.e., each action and their inputs need to be described and potentially updated as new actions/definitions become available. LLM + MCP: Standardized integration, instantly compatible with any MCP-enabled tool, solving complexity.
- 6. MCP Server Exposes Resources ExposesTools Exposes Prompt Templates 6 MCP Client Queries for Resources Invokes Tools Interpolates Prompts How does it work? Tools Functions and tools that can be invoked by the client Prompt Templates User-invoked prompts to interact with the model Retrieve / search Send a message Update DB records Document Q&A Transcript Summary Output as JSON Resources Data or content exposed by the server Files Database Records API Responses
- 7. Transports in theModel Context Protocol (MCP) provide the foundation for communication between clients and servers. A transport handles the underlying mechanics of how messages are sent and received. Built-in Transport Types • Standard Input/Output (NOT supported in Copilot Studio) • The stdio transport enables communication through standard input and output streams. • This is particularly useful for local integrations and command-line tools. • Streamable HTTP (supported in Copilot Studio) • In the Streamable HTTP transport, the server operates as an independent process that can handle multiple client connections. • This transport uses HTTP POST and GET requests. • Server can optionally make use of Server-Sent Events (SSE) to stream multiple server messages. This permits basic MCP servers, as well as more feature-rich servers supporting streaming and server-to-client notifications and requests. 7 Transports - Model Context Protocol Transports
- 8. Simplify integration withAI apps and agents using Model Context Protocol Copilot Studio now supports MCP, a standardized way to connect agents to your data and tools. It's like a USB-C port for your agents. Connect your agents to MCP-enabled connectors, unlocking the latest actions and knowledge made available. Apply enterprise security and controls to your connectors including data loss prevention, authentication, and virtual networks. Access a marketplace of servers from the growing library of pre-built, MCP-enabled connectors. Learn more at aka.ms/mcs-mcp Tools added by MCP server Check balance Unblock card Order new card Banking agent
- 9. MCP: Standardized AIDevelopment Data Store MCP server CRM MCP server Version Control MCP server Data Stores (DynamoDB, S3, Aurora, etc.) CRM systems Version Control Software Query and fetch data Modify records Handle data streams Create/update contacts Manage opportunities Track interactions Commit changes Resolve conflicts Manage branches Claude for Desktop Copilot studio Cursor Any MCP Client Replit VS Code
- 10. MCP Microsoft Ecosystem ModelContext MPC enables seamless Integration between LLM Apps and external data sources Azure API Management Build Local & Remote MCP Servers Tools Community Enterprise Windows MCP Clients & Host Copilot Studio VS Code Foundry Agent Visual Studio Semantic Kernel Registry GitHub Copilot C# MCP SDK Microsoft Connectors Azure Functions Microsoft Teams Windows
- 11. MCP in MicrosoftCopilot Studio Microsoft Copilot Studio using MCP Actions MCP Host Consumer of the MCP Servers Standard MCP Clients Microsoft 365 Appointments-related scenarios Custom MCP Clients GitHub Repository and issues scenarios Native MCP Server MCP Server Microsoft 365 Appointments- related tools Related service APIs Outlook Calendar Appointments-related services… Custom MCP Server MCP Server Azure App Service Custom MCP Server for GitHub related tools Related service APIs GitHub Repositories, Pull Requests, Issues… MCP Protocol
- 13.
- 15. MCP + MCS Createthe server Publish through a connector Consume the data via Copilot Studio
- 16. Create a serverwith Azure APIM+MCP
- 17.
- 18. Resources Documentation: https://aka.ms/mcsmcpdocs Community: https://aka.ms/mcsmcpcommunity Hands-onlab: https://aka.ms/mcsmcplab Create your own server with Azure APIM+MCP
- 19. Copilot Studio New Features BringYour Own Model (BYOM) from Azure AI Foundry Computer Use Agents (CUA) for interacting with digital assets Multi-agent systems Use MCP to seamlessly integrate with other systems A low code managed SaaS agent platform, ready to use
- 20.
- 21. Transform business processeswith agents Agents use AI to automate and execute business processes, working alongside or on behalf of a person, team, or organization. Deploy to… Microsoft 365 Copilot Your applications Your websites
- 22. Agent component s Easily tailor youragent’s building blocks to meet your unique business needs User experience (optional) Orchestrato r Knowledge Grounding and memory Tools Your LOB applications and APIs Autonomy Planning, exceptions, etc. Foundation models Agents
- 23. Microsoft 365 AgentsSDK Introducing Generally Available Your agent, your way for the most advanced needs Build on your terms with Azure AI or your choice Seamlessly integrate into and from Copilot Studio Publish across multiple channels
- 24. Connect your agents through theMicrosoft 365 Agents SDK Easily connect agents that use your own AI Services to Microsoft 365 Copilot & 10+ Channels Choose your own orchestrator Pick your own AI models Connect your own knowledge Host through the provider of your choice Publish across multiple platforms
- 25. Microsoft 365 Agents SDK Bringsthe ‘container’ that has built in Authentication, State & Storage options and Channel Adapters for different deployment options, allowing developers to bring their own AI Services, Orchestration & Knowledge Authentication Conversation Management Channel adapters Agents SDK
- 27. Build and connect your agentsusing the Microsoft 365 Agents Toolkit Easily connect agents that use your own AI Services to Microsoft 365 Copilot Choose your own orchestrator Pick your own AI models Connect your own knowledge Host through the provider of your choice Publish across multiple platforms
- 28.
Editor's Notes
- #1 Speaker Notes: Welcome to our session, “Uncover High-Value ROI AI Use Cases.” This session is designed to help us identify and evaluate opportunities where AI can deliver the highest impact and return on investment within your organization. During this session, we will: • Explore characteristics of high-value use cases. • Discuss the intersection of AI readiness and organizational needs. • Highlight examples of how Copilot conversational AI and autonomous agents can transform processes and add measurable value. Let’s dive in and discover how to align AI capabilities with strategic goals!
- #7 his slide provides an overview of Transports in the Model Context Protocol (MCP), which are mechanisms that handle communication between clients and servers. Key Points: Purpose: Transports manage how messages are sent and received in MCP. Built-in Transport Types: Standard Input/Output (stdio): Enables communication via standard input/output streams. It is ideal for local integrations and command-line tools. Streamable HTTP: Allows servers to handle multiple client connections using HTTP POST and GET. It supports Server-Sent Events (SSE) to stream multiple messages from server to client, making it suitable for both basic and advanced MCP server implementations.
- #21 The last few years have been amazing for AI and for technology SHIFT to a conversation first approach when interacting with tech -- Now it is super common for us to open BANKING apps and see an agent ready to help us, with context In Microsoft we can open our AskHR agent in Microsoft Teams and get answers we need Our lives are better as a result, why? Not just because we are getting information and getting it faster, they give us focus, provide us with information based on permissions or situation and they are driving towards a resolution
- #22 This slide illustrates the Agent Components architecture, outlining the modular building blocks that enable you to tailor AI agents to suit your specific business needs. Key Elements: 🧠 Orchestrator (Core Logic) Acts as the central brain coordinating various components: Interfaces with Knowledge, Tools, and Autonomy Facilitates communication between modules Manages workflow and execution flow 📚 Knowledge Represents grounding and memory Provides contextual understanding and long-term memory Enables the agent to retain and retrieve relevant business information 🔧 Tools Refers to Line-of-Business (LOB) applications and APIs Powers agent actions (e.g., CRM lookups, scheduling, data retrieval) Critical for operational utility and integration with enterprise systems 🤖 Autonomy Handles planning, decision-making, and exception handling Gives the agent the ability to act independently and adapt to changes 🧱 Foundation Models Large language models or other foundational AI models Provide generative and interpretative capabilities Serve as the base intelligence layer 👤 User Experience (Optional) Front-end or UI components interacting with the user Optional layer based on the implementation context (e.g., chatbots, voice interfaces) 🤝 Agents Multiple agents can be instantiated using this architecture Each agent can have its own configuration, purpose, and capabilities
- #23 *This is where the Microsoft 365 Agents SDK comes in, which does exactly that. CLICK*** (Yes fast)
- #24 **CLICK STRAIGHT AWAY*** (YES AGAIN) The Microsoft 365 Agents SDK is an open source SDK from Microsoft that is available in C#, JS, PYTHON It allows you to bring your own MODE, ORCHestrator and knowledge **CLICK** make use of the CONV MANAGEMENT capabilities of the SDK including state, storage and auth. It then takes that and allows you to DEPLOY it to a channel where your customers are, WHERE YOUR USERS ARE such as Microsoft Teams or Microsoft 365 Copilot **CLICK**
- #25 -> make use of the CONV MANAGEMENT capabilities of the SDK including state, storage and auth. -> It then takes that and allows you to DEPLOY it to a channel where your customers are, such as Microsoft Teams or Microsoft 365 Copilot
- #27 Now what is facilitating this, enabling this, and making it super easy is the Microsoft 365 Agents Toolkit. *CLICK**