mcp-agent and sample-agentic-ai-demos
The AWS samples are complements to the `mcp-agent` tool, demonstrating how to integrate the Model Context Protocol, implemented by `mcp-agent`, within the AWS ecosystem.
About mcp-agent
lastmile-ai/mcp-agent
Build effective agents using Model Context Protocol and simple workflow patterns
This project helps AI engineers and developers build robust AI agents by providing a framework that connects Large Language Models (LLMs) with various tools and resources. It takes instructions and desired behaviors for an agent as input and outputs a functional, reliable AI agent capable of complex tasks. The primary users are AI developers and engineers responsible for creating and deploying AI-driven applications.
About sample-agentic-ai-demos
aws-samples/sample-agentic-ai-demos
Collection of examples of how to use Model Context Protocol with AWS.
This collection of examples helps software developers integrate advanced AI capabilities into their applications using AWS services. It shows how to build AI agents that can interact with various models and services, managing complex conversational workflows. Developers can use these examples to create applications that leverage Amazon Bedrock's conversational AI and other AWS resources.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work