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.py that 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

References

• Anthropic MCP
• MCP Python SDK
• AWS Bedrock