In this video, Microsoft Developer presents Day 2 of MCP Dev Days, delving into the practical implementation of the Model Context Protocol for developers and AI product strategists.

Overview

MCP Dev Days: Day 2 - Builders, presented by Microsoft Developer, is the second session in a virtual event series focused on the Model Context Protocol (MCP). MCP serves as a standard connecting AI models with the necessary tools and infrastructure.

Agenda Highlights

  • Deep Dive into Implementation: Day 2 is tailored for builders seeking practical insights on leveraging MCP.
  • Building MCP Servers: Guidance on constructing MCP servers and integrating them into agent-based workflows.
  • Prompt-driven Development: Exploration of prompt engineering and its significance in building effective AI solutions using MCP.
  • Security Best Practices: Discussion of core principles and actionable frameworks to ensure the security of MCP-enabled solutions.
  • Scalable and Secure Servers: Step-by-step instructions to use tools and services—such as Azure Functions, Azure Container Apps (ACA), and API Management—to create robust, enterprise-ready infrastructures.

Key Topics Covered

1. Model Context Protocol (MCP)

  • Definition and role of MCP as a standard bridging AI models to key tools.
  • Ecosystem insights: how MCP fosters collaboration between developers, tool builders, and AI strategists.

2. Implementation Guidance

  • Building and deploying MCP servers.
  • Strategies for integrating servers into agent experiences for more flexible and adaptive AI applications.

3. Prompt-driven Development

  • Overview of prompt-driven models and engineering techniques to optimize AI model responses with MCP.

4. Security Considerations

  • Security best practices specific to MCP components and AI model integrations.
  • Common threats and mitigations.

5. Building Blocks for Scalability

  • Azure Functions: Event-driven compute for scalable applications.
  • Azure Container Apps (ACA): Microservices and container orchestration.
  • API Management: Centralized management of APIs for secure, governed access.
  • How these building blocks support modern MCP deployments.

Audience

The session targets developers, toolmakers, and AI product strategists aiming to:

  • Build or operate MCP servers.
  • Integrate with modern agent architectures.
  • Embrace prompt-driven development in secure, scalable environments.

Benefits

  • Gain practical, hands-on implementation knowledge.
  • Learn security and scaling patterns using Microsoft Azure tools.
  • Obtain insights to confidently build production-ready, interoperable AI systems using MCP.

Further Learning