A
securityF
licenseA
qualityAn MCP server that provides tools for interacting with AWS S3 buckets, enabling direct access to S3 operations through the Model Context Protocol.
Last updated -
1
Python
Integrations
Enables interaction with AWS Bedrock's runtime service to connect Claude AI models with MCP-enabled tools
MCP on AWS Bedrock
A simple and clear example for implementation and understanding Anthropic MCP (on AWS Bedrock).
For multiple MCP servers management, this tiny project Q-2001 could be referred~
Overview
This project demonstrates how to implement and use Anthropic's Model Context Protocol (MCP) with AWS Bedrock. It provides a client implementation that can interact with MCP-enabled tools through AWS Bedrock's runtime service.
Updates 2025-05-10: Streamable HTTP
- Add support for Streamable HTTP
- Rewrite the URL fetching MCP server
fetch_url_mcp_server.pythat demonstrates different transport types
Usage Instructions
Run the server with default stdio settings (no transport parameter):
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Run with streamable-http transport on default port (8000):
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Run with streamable-http transport on custom port:
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Prerequisites
- Python 3.10 or higher
- AWS account with Bedrock access
- Configured AWS credentials
- UV package manager
Features
- Seamless integration with AWS Bedrock runtime using Converse API
- Tool format conversion for Bedrock compatibility
- Asynchronous communication handling
- Structured logging for debugging
Contributing
Feel free to submit issues and pull requests to improve the implementation.
License
MIT License
References
You must be authenticated.
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Tools
Facilitates interaction with AWS Bedrock-enabled tools by implementing Anthropic's Model Context Protocol for seamless tool integration and communication.
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