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MCP Tool Server

by davidshtian
GitHub
Python
MIT License
35
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Integrations

  • Enables interaction with AWS Bedrock's runtime service to connect Claude AI models with MCP-enabled tools

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.

Prerequisites

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

Project Structure

  • client_stdio.py: Main client implementation for interacting with Bedrock and MCP tools using stdio mode
  • client_sse.py: Main client implementation for interacting with Bedrock and MCP tools using sse mode
  • mcp_simple_tool/: Directory containing the MCP tool implementation
    • server.py: MCP tool server implementation
    • __main__.py: Entry point for the tool
  • pyproject.toml: Project dependencies and configuration

Usage

Run the stdio client with:

uv pip install boto3 uv run client_stdio.py

The client will:

  1. Initialize a connection to AWS Bedrock
  2. Start the MCP tool server
  3. List available tools and convert them to the format required by Bedrock
  4. Handle communication between Bedrock and the MCP tools

Run the sse client with:

# server uv pip install boto3 uvicorn uv run mcp-simple-tool --transport sse --port 8000 # client uv run client_sse.py

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

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A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

Facilitates interaction with AWS Bedrock-enabled tools by implementing Anthropic's Model Context Protocol for seamless tool integration and communication.

  1. Overview
    1. Prerequisites
      1. Project Structure
        1. Usage
          1. Features
            1. Contributing
              1. License
                1. References

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