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Sample Agentic AI Demos

by · github.com/aws-samples/sample-agentic-ai-demos

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

Unclaimed MIT-0 last commit 8 months ago mcpmcp-servergenaicloudagentsbedrockmcp-client
InstallView source
79Good

Scored 5 months ago · breakdown

About Sample Agentic AI Demos

Sample Agentic AI Demos is an MCP server published by aws-samples in the Cloud category: collection of examples of how to use Model Context Protocol with AWS.

The repository has 103 stars and 38 forks, with the last commit 8 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/aws-samples/sample-agentic-ai-demos

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 1 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

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 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.

Security

See CONTRIBUTING for more information.

License

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

README fetched from the repository 1 hours ago. The original is authoritative.

Questions

About Sample Agentic AI Demos

How do I install Sample Agentic AI Demos?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Sample Agentic AI Demos safe to use with an AI agent?

Its trust score is 79 out of 100 (good). It passes 5 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Sample Agentic AI Demos still maintained?

The last commit was 8 months ago and 15 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.