# Sample Agentic Ai Demos

> Collection of examples of how to use Model Context Protocol with AWS.

- **Type:** MCP server
- **Install:** `agentstack add mcp-aws-samples-sample-agentic-ai-demos`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [aws-samples](https://agentstack.voostack.com/s/aws-samples)
- **Installs:** 0
- **Category:** [Cloud & Infrastructure](https://agentstack.voostack.com/c/cloud-infrastructure)
- **Latest version:** 0.1.0
- **License:** MIT-0
- **Upstream author:** [aws-samples](https://github.com/aws-samples)
- **Source:** https://github.com/aws-samples/sample-agentic-ai-demos

## Install

```sh
agentstack add mcp-aws-samples-sample-agentic-ai-demos
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

## Agentic AI Samples

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](./modules/converse-client-server-sse-demo-docker/)                               | 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](./modules/converse-client-server-stdio-demo-local/)                            | 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](./modules/spring-ai-agent-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](./modules/spring-ai-java-bedrock-mcp-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](./modules/spring-ai-mcp-server-ecs/)                                                  | Spring AI & Kotlin | Very basic Spring AI MCP Server over SSE running on ECS.                                                                                                                       |
| [MCP/SSE Server - FastAPI Client with Anthropic Bedrock](./modules/anthropic-bedrock-python-ecs-mcp/)         | 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. |

## Security

See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.

## License

This library is licensed under the MIT-0 License. See the LICENSE file.

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [aws-samples](https://github.com/aws-samples)
- **Source:** [aws-samples/sample-agentic-ai-demos](https://github.com/aws-samples/sample-agentic-ai-demos)
- **License:** MIT-0

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-aws-samples-sample-agentic-ai-demos
- Seller: https://agentstack.voostack.com/s/aws-samples
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.