by aws-samples · MCP Server · ★ 70
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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.
| Stars | 70 |
| Forks | 27 |
| Language | Jupyter Notebook |
| Category | MCP Server |
| License | MIT-0 |
| Quality Score | 42.75/100 |
| Open Issues | 1 |
| Last Updated | 2026-01-03 |
| Created | 2025-08-05 |
| Platforms | aws, mcp |
| Est. Tokens | ~638k |
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sample-getting-started-with-strands-agents-course is 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 La. It is categorized as a MCP Server with 70 GitHub stars.
sample-getting-started-with-strands-agents-course is primarily written in Jupyter Notebook. It covers topics such as a2a, anthropic, aws.
You can find installation instructions and usage details in the sample-getting-started-with-strands-agents-course GitHub repository at github.com/aws-samples/sample-getting-started-with-strands-agents-course. The project has 70 stars and 27 forks, indicating an active community.
sample-getting-started-with-strands-agents-course is released under the MIT-0 license, making it free to use and modify according to the license terms.
The top alternatives to sample-getting-started-with-strands-agents-course on Agent Skills Hub include mcp-server, aws-skills, mcp-server-aws. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.