Overview
What is MCP-on-AWS-Bedrock
MCP-on-AWS-Bedrock is a project that provides a simple and clear example for implementing and understanding Anthropic's Model Context Protocol (MCP) using AWS Bedrock. It includes a client implementation that interacts with MCP-enabled tools through AWS Bedrock's runtime service.
How to Use
To use MCP-on-AWS-Bedrock, ensure you have Python 3.10 or higher, an AWS account with Bedrock access, and configured AWS credentials. You can run the stdio client using the command 'uv run client_stdio.py' or the sse client with 'uv run client_sse.py' after setting up the MCP tool server.
Key Features
Key features of MCP-on-AWS-Bedrock include seamless integration with AWS Bedrock runtime, tool format conversion for Bedrock compatibility, asynchronous communication handling, and structured logging for debugging purposes.
Where to Use
MCP-on-AWS-Bedrock can be used in various fields that require integration of machine learning models with cloud services, particularly in applications that utilize the Model Context Protocol for enhanced model interactions.
Use Cases
Use cases for MCP-on-AWS-Bedrock include developing applications that leverage multiple machine learning tools, creating interactive AI systems, and facilitating communication between different AI models in a cloud environment.
Content
Github MCP
Skyvern
anything-llm
chatbox
semantic-kernel
MaxKB
repomix
apisix
screenpipe
