Microsoft Developer presents a technical exploration of the Model Context Protocol (MCP), revealing how this open standard enables AI models to seamlessly connect with external APIs and tools.

Unlocking AI Interoperability: A Deep Dive into the Model Context Protocol

Explore how the Model Context Protocol (MCP) is transforming AI system integration. This session provides:

Key Topics Covered

Overview of MCP:
- Introduction to the Model Context Protocol as an open standard for connecting Large Language Models (LLMs) to a wide range of external systems.
- The motivation behind MCP and the interoperability problems it solves.
MCP Architecture:
- Detailed look at the protocol’s transport layer and its primitive abstraction patterns.
- How MCP servers expose capabilities through a standardized interface.
- Dynamic discovery: Allowing AI models to identify and interact with APIs, data sources, databases, and development environments without custom code for each integration.
Practical Demonstrations:
- Live demonstrations of MCP in action, including connecting to different external systems and showcasing integration workflows.
- Real-world adoption by major AI platforms and ecosystem partners.
Security and Best Practices:
- Examination of MCP’s security model.
- Best practices for implementing and maintaining secure and reliable MCP servers.
Migrating to MCP:
- Strategies for transitioning from legacy or bespoke integrations to the MCP standard.
- Recommendations for developers, API maintainers, and architects.

Who Should Watch

AI application developers
API and backend service maintainers
Solution architects focused on developer tooling and integrations

Resources & Further Reading

This session equips you with practical knowledge and actionable strategies to start using the Model Context Protocol for next-generation AI interoperability.