Aws Bedrock Integration MCP Server

Demonstrates implementation and usage of Anthropic's Model Context Protocol (MCP) with AWS Bedrock.

Local serverstdioPython★ 55

What is the Aws Bedrock Integration MCP Server?

Demonstrates implementation and usage of Anthropic's Model Context Protocol (MCP) with AWS Bedrock.

What it actually does

Run the server with default stdio settings (no transport parameter): ```bash uv run fetch_url_mcp_server.py

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.

  • Seamless integration with AWS Bedrock runtime using Converse API
  • Tool format conversion for Bedrock compatibility
  • Asynchronous communication handling
  • Structured logging for debugging

Configuration

  • Python 3.10 or higher - AWS account with Bedrock access - Configured AWS credentials - UV package manager

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

  • Python 3.10 or higher - AWS account with Bedrock access - Configured AWS credentials - UV package manager

Frequently asked questions

It's a project demonstrating how to implement and use Anthropic's Model Context Protocol (MCP) with AWS Bedrock, enabling you to integrate AI tools into your Bedrock workflows.