MCP resources for GHC 2025
The Model Context Protocol (MCP) represents a significant advancement in AI development, providing standardized guidelines for how AI models should interpret and respond to context during interactions.
These resources collectively explain MCP's technical implementation across different platforms and its practical applications in improving AI reliability and safety through better context handling.
- Anthropic - Model Context Protocol
- Hugging Face Blog - MCP
- Hugging Face MCP Course
- Wikipedia - Model Context Protocol
- GitHub - Model Context Protocol
- MCP Documentation
- Anthropic - Core Views on AI Safety
- YouTube Video 1
- YouTube Video 2
- The MCP Workshop - MCP with Amazon Q
- Building MCP Servers with Amazon Q CLI and Rust Programming
- Building MCP Servers with Amazon Q CLI and Python Programming
- Everyday Productivity Accelerators: Building GenAI Tools with Model Context Protocol (MCP)
- Korean language - MCP workshops
- Korean language - MCP with Amazon Q workshops
- Using AI with MCP to Prototype and Manage Your Live Streaming Applications
- Amazon Q Developer CLI & MCP Workshop
- Automating security reviews with SecKiro, an MCP for Amazon's intelligent IDE
- Agentic developer experience with Amazon EKS
- Vibe Coding with AWS MCP Server
- Building MCP Servers with Python
- AI Agents on EKS Workshop
- Building MCP Powered Agents with Claude on Amazon Bedrock
- Develop your DynamoDB data model with MCP - only AWS hosted event
- Accelerating Platform Engineer Productivity with Agentic AIOps
- AI-Powered Container Ops: Building and Deploying with MCP Servers on AWS
- Deploying Agentic AI Applications on Amazon EKS
- Cost Effective Modern Data Platform With Athena, DBT, Iceberg, Strands SDK and MCP
- Amazon Bedrock-MCP Hands-on Lab for Healthcare and LifeSciences
- AWS EOL Detection & Remediation using Strands, AgentCore, MCP, Q CLI - Workshop
- Building Agents with Amazon Nova Act and MCP
- Build a Serverless Analytics Agent with Strands, MCP, and S3 Tables
- Streamline SAP Operations with Amazon Q CLI leveraging AWS MCP Servers