Sample Agentic Ai Demos
Collection of examples of how to use Model Context Protocol with AWS.
Install
$ agentstack add mcp-aws-samples-sample-agentic-ai-demos ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/mcp-aws-samples-sample-agentic-ai-demos) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
- Source: aws-samples/sample-agentic-ai-demos
- License: MIT-0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.