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.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

Anthropic MCP AWS Bedrock