MCP Tool Server

# MCP on AWS Bedrock A simple and clear example for implementation and understanding Anthropic MCP (on AWS Bedrock). <a href="https://glama.ai/mcp/servers/cuhom1oc17"> <img width="380" height="200" src="https://glama.ai/mcp/servers/cuhom1oc17/badge" /> </a> > For multiple MCP servers management, [this tiny project Q-2001](https://github.com/davidshtian/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](https://github.com/modelcontextprotocol/python-sdk/releases/tag/v1.8.0) - 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): ```bash uv run fetch_url_mcp_server.py # client uv run client_stdio.py ``` Run with streamable-http transport on default port (8000): ```bash python fetch_url_mcp_server.py --transport streamable-http # client uv run client_streamablehttp.py ``` Run with streamable-http transport on custom port: ```bash 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](https://modelcontextprotocol.io/) - [MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk) - [AWS Bedrock](https://aws.amazon.com/bedrock/)