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):
uv run fetch_url_mcp_server.py
# client
uv run client_stdio.py
Run with streamable-http transport on default port (8000):
python fetch_url_mcp_server.py --transport streamable-http
# client
uv run client_streamablehttp.py
Run with streamable-http transport on custom port:
python fetch_url_mcp_server.py --transport streamable-http --port 8080
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