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TRMX AI Video Tutorials

This page provides a collection of video tutorials to help you get started with TRMX AI and learn about the Model Context Protocol (MCP).

Getting Started​

Introduction to MCP​

This introductory video explains the key concepts of the Model Context Protocol (MCP) and how it addresses the challenges of context management in AI applications.

Topics Covered:

  • The problem of context management in AI
  • How MCP solves context limitations
  • Core components of the MCP architecture
  • Benefits of using MCP in your applications

Quick Start Tutorial​

This hands-on tutorial walks you through creating your first MCP application, from setup to deployment.

Topics Covered:

  • Setting up your development environment
  • Creating a basic MCP server
  • Implementing tools and resources
  • Testing your application
  • Deploying to production

Developer Guides​

Building MCP Servers​

Learn how to build robust MCP servers with advanced features and optimizations.

Topics Covered:

  • MCP server architecture
  • Implementing custom tools
  • Creating resources
  • Managing context effectively
  • Error handling and validation
  • Performance optimization

MCP Client Integration​

Discover how to integrate MCP clients into your applications to connect with MCP servers.

Topics Covered:

  • MCP client initialization
  • Discovering available tools
  • Making tool calls
  • Handling responses
  • Managing conversation context
  • Error handling

Advanced Topics​

Working with Large Language Models​

Learn how to effectively use MCP with various large language models.

Topics Covered:

  • MCP with OpenAI models (GPT-4, etc.)
  • MCP with Anthropic models (Claude, etc.)
  • MCP with open-source models
  • Model-specific optimizations
  • Prompt engineering for tool use

Enterprise MCP Deployment​

Learn about enterprise-grade MCP deployment strategies and practices.

Topics Covered:

  • Scalable architecture
  • Security best practices
  • High-availability deployments
  • Monitoring and logging
  • Performance optimization

Case Studies​

Building a Customer Support Bot​

This case study demonstrates how to build a customer support bot using MCP.

Topics Covered:

  • Integrating with knowledge bases
  • Handling user queries
  • Managing conversation context
  • Implementing escalation workflows
  • Analytics and reporting

Developer Tools with MCP​

Learn how to build AI-powered developer tools using MCP.

Topics Covered:

  • Code analysis tools
  • Code generation assistants
  • Debugging helpers
  • Documentation assistants
  • Integration with development environments

Webinars and Presentations​

MCP: The Future of AI Integration​

A presentation about the future of AI integration with MCP.

Topics Covered:

  • Evolution of AI integration
  • The role of MCP in the AI ecosystem
  • Future developments and roadmap
  • Industry adoption and case studies
  • Q&A with TRMX AI engineering team

Monthly Office Hours​

Join our monthly office hours to get your questions answered by the TRMX AI team.

Topics Covered:

  • Recent updates and releases
  • Common questions and solutions
  • Community projects and showcases
  • Live Q&A sessions
  • Tips and best practices

Additional Resources​

Adding CSS for Video Containers​

To ensure videos display properly, add the following CSS to your custom styles file:

.video-container {
  position: relative;
  padding-bottom: 56.25%; /* 16:9 aspect ratio */
  height: 0;
  overflow: hidden;
  max-width: 100%;
  margin-bottom: 1rem;
}

.video-container iframe {
  position: absolute;
  top: 0;
  left: 0;
  width: 100%;
  height: 100%;
}