Sample MCP Demos

What is Sample Model Context Protocol Demos?

A collection of sample applications demonstrating how to build Agentic AI with AWS using the Model Context Protocol (MCP). It includes multiple demo modules in TypeScript, Python, Java, and Kotlin that implement MCP clients and servers integrated with Amazon Bedrock, supporting both SSE and stdio transports, with deployment options ranging from local containers to Amazon ECS.

How to use Sample Model Context Protocol Demos?

Browse the module table in the README to select a demo that fits your language and deployment preference. Each module directory contains its own code, configuration, and instructions for setup and execution.

Key features of Sample Model Context Protocol Demos

• Multiple language implementations (TypeScript, Python, Java, Kotlin)
• MCP over both SSE and stdio transports
• Integration with Amazon Bedrock Converse API
• Local Docker and Amazon ECS deployment options
• RAG example using PostgreSQL with pgvector
• Spring AI and Anthropic Bedrock client examples

Use cases of Sample Model Context Protocol Demos

• Build an MCP client that connects to an MCP server via SSE or stdio using Bedrock
• Deploy an MCP server and client on Amazon ECS behind a public load balancer
• Create an agent that manages adoption appointments with an MCP server and a RAG database
• Experiment with MCP in different programming environments and transport modes