patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
aws-samples/sample-agentic-ai-demos
Agentic AI Samples is a repository from the aws-samples organization that collects runnable examples of building agentic AI applications on AWS, with the Model Context Protocol as a recurring building block. Rather than shipping a single library, it is organised as a set of independent modules, each demonstrating a different combination of language, transport and deployment target. One module builds an Amazon Bedrock MCP client on top of the Bedrock Converse API together with an MCP server, packaged as containers that talk to each other over MCP with SSE transport. Another shows the same client and server pairing in Python over the simpler stdio transport, running locally against Bedrock. Three further modules use Spring AI: a basic MCP server exposed over SSE on Amazon ECS, a Kotlin agent that consumes such a server through a public load balancer, and a Java dog-adoption agent that combines Bedrock, PostgreSQL with pgvector for retrieval-augmented generation, and an MCP server that manages adoption appointments. A final module pairs an MCP SSE server with a FastAPI client using Anthropic models on Bedrock, deployed on ECS Fargate behind an Application Load Balancer. The modules span TypeScript, Python, Java and Kotlin, so the repository doubles as a comparison of how the protocol is wired up in different stacks and how the stdio and SSE transports differ in practice. Each module carries its own instructions and infrastructure definitions and can be deployed independently. The audience is developers and cloud architects who already work with AWS and want reference deployments of MCP clients and servers on managed services such as ECS and Fargate rather than a purely local prototype. The code is published under the MIT-0 licence.
https://github.com/aws-samples/sample-agentic-ai-demos
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