by aws-samples
Collection of examples of how to use Model Context Protocol with AWS.
# Add to your Claude Code skills
git clone https://github.com/aws-samples/sample-agentic-ai-demosGuides for using ai agents skills like sample-agentic-ai-demos.
Last scanned: 5/30/2026
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}sample-agentic-ai-demos is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by aws-samples. Collection of examples of how to use Model Context Protocol with AWS. It has 101 GitHub stars.
Yes. sample-agentic-ai-demos passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/aws-samples/sample-agentic-ai-demos" and add it to your Claude Code skills directory (see the Installation section above).
sample-agentic-ai-demos is primarily written in Python. It is open-source under aws-samples on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh sample-agentic-ai-demos against similar tools.
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Collection of examples of how to build Agentic AI with AWS, including Model Context Protocol.
List of modules:
| Module | Lang | Description |
|---|---|---|
| Server Client MCP/SSE Demo | TypeScript | This full demo creates an Amazon Bedrock MCP client using the converse API and MCP server. The sample is deployed in containers that connect over MCP/SSE. |
| Server Client MCP/stdio Demo | Python | This is a demo Amazon Bedrock MCP client using the converse API and a simple MCP stdio server. The sample runs locally connected with Amazon Bedrock. |
| Server Client MCP/SSE on ECS | Spring AI & Kotlin | Provides a sample Spring AI MCP Server that runs on ECS; which is used by a Spring AI Agent using Bedrock; which also runs on ECS and is exposed publicly via a Load Balancer. |
| Server Client MCP/SSE in Bedrock Converse Client w/ pgVector RAG | Spring AI & Java | A Spring AI dog adoption agent built on Bedrock using PostgreSQL with pgvector for RAG, and an MCP Server for managing adoption appointments. |
| Server MCP/SSE on ECS | Spring AI & Kotlin | Very basic Spring AI MCP Server over SSE running on ECS. |
| MCP/SSE Server - FastAPI Client with Anthropic Bedrock | Python | An MCP SSE server with a FastAPI client that leverages Anthropic Bedrock. The sample runs on ECS Fargate with public access through an Application Load Balancer. |
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.