sample-getting-started-with-strands-agents-course

MCP server · GitHub · ★ 196 · graded 2026-10-19Source linked

Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using LangFuse/RAGAS.

No outside reports on file

sample-getting-started-with-strands-agents-course connects to external service APIs; restrict its folder reach, network access, and credentials before installing.

Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

Local filesNo local folder access notedLOW
Command executionNo shell command runner notedLOW
Network reachConnects to outside service APINOTED
CredentialsNo API token requiredLOW
Package sourceGitHub (aws-samples/sample-getting-started-with-strands-agents-course)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/aws-samples/sample-getting-started-with-strands-agents-course ↗

All setup options ↓

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Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-19.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Sample Getting Started With Strands Agents Course

Sample Getting Started With Strands Agents Course is an MCP server focused on Cloud & infrastructure and Memory & knowledge: Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using LangFuse/RAGAS.

It is hosted on GitHub at aws-samples/sample-getting-started-with-strands-agents-course (196 GitHub stars). Based on its public metadata, its operational scope includes: connects to outside service api.

Setup

These use the package this listing points to. Check the project’s own instructions before running anything.

No npm or PyPI package is listed for this MCP server. Source code and setup steps: github.com/aws-samples/sample-getting-started-with-strands-agents-course.

Why this grade

CC — Moderate risk signals

Signal-based grade (2/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

26/100

GitHub stars: 196
Listing last refreshed: 2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

External API & account scope: Connects to third-party service APIs. Use a dedicated, least-privilege token scoped only to the workspaces or repositories this tool needs.
Dependency & version pinning: Distributed via GitHub (aws-samples/sample-getting-started-with-strands-agents-course). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

Check its activity history or logs weekly at first, and look at what it changed or sent.
Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

It asks for more access than its job requires, or prompts you to paste passwords.
It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Sample Getting Started With Strands Agents Course?

Sample Getting Started With Strands Agents Course does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/aws-samples/sample-getting-started-with-strands-agents-course.

Are there security reports about Sample Getting Started With Strands Agents Course?

No reports found for this package in our research (last checked 2026-10-30). Sample Getting Started With Strands Agents Course currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.

Is Sample Getting Started With Strands Agents Course actively maintained?

Sample Getting Started With Strands Agents Course has 196 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/aws-samples/sample-getting-started-with-strands-agents-course before pinning it in production.

What are alternatives to Sample Getting Started With Strands Agents Course?

You can compare Sample Getting Started With Strands Agents Course side by side with other AWS MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

Maintain or use Sample Getting Started With Strands Agents Course? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Sample Getting Started With Strands Agents Course

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Sample Getting Started With Strands Agents Course](https://agentarmorhq.com/api/badge/aws-samples-sample-getting-started-with-strands-agents-course)](https://agentarmorhq.com/skills/aws-samples-sample-getting-started-with-strands-agents-course)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/aws-samples-sample-getting-started-with-strands-agents-course"><img src="https://agentarmorhq.com/api/badge/aws-samples-sample-getting-started-with-strands-agents-course" alt="AgentArmorHQ Risk Grade for Sample Getting Started With Strands Agents Course" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "aws-samples-sample-getting-started-with-strands-agents-course"

Share with your security lead

Need sign-off to use sample-getting-started-with-strands-agents-course? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: sample-getting-started-with-strands-agents-course
- **Listing URL:** https://agentarmorhq.com/skills/aws-samples-sample-getting-started-with-strands-agents-course
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 196 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (aws-samples/sample-getting-started-with-strands-agents-course)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/aws-samples/sample-getting-started-with-strands-agents-course
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Publisher: aws-samples
Source code: github.com/aws-samples/sample-getting-started-with-strands-agents-course
Est. context load: ~900 tokens / turn (~5 tool schemas, 0.45% of 200k context)
Popularity: 196 GitHub stars
Last updated: 2026-10-29
Last graded: 2026-10-19

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