Large Language Models (LLMs) like Gemini and GPT are transforming how we build intelligent apps. But without proper context, even the smartest AI can give vague or incorrect responses. That’s where the Model Context Protocol (MCP) comes in—it helps LLMs understand your app’s tools, data, and workflows securely and accurately.

In this session, we’ll go beyond the basics and show intermediate to advanced Flutter developers how to build and deploy MCP servers using Dart. You’ll learn how to make your apps AI-ready by giving LLMs the right context to work with—whether it’s internal APIs, user data, or custom tools.

Key takeaways:

- Understand what MCP is and why it’s critical for building context-aware LLM-powered apps.
- Learn how to build and run a Dart-based MCP server using stdio transport.
- Discover how to expose custom tools and resources (like APIs, databases, or business logic) to LLMs.
- Explore integration strategies with Cursor, Firebase Studio, and VS Code.
- Get practical tips on debugging, deployment, and scaling MCP servers for real-world use cases.

I have designed this talk for developers who’ve built Flutter apps and are now looking to integrate AI into their stack—especially in enterprise or startup environments.