Strand_Agent_MCP_Server

juggarnautss/Strand_Agent_MCP_Server

3.2

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The Model Context Protocol (MCP) server is a powerful tool for building intelligent, context-aware applications using AWS strands agents. It facilitates seamless integration with various data sources and enhances agent capabilities.

AWS Strand Agent integration with MCP Research Server

Overview

This project demonstrates the power of AWS strands agents and how quickly you can build intelligent, context-aware applications. AWS provides a robust foundation for creating agents that can understand, reason, and act on complex data - and with Model Context Protocol (MCP) integration, you can extend these capabilities seamlessly.

Why AWS Strand Agents?

  • Model Driven Orchestration: Strands leverages model reasoning to plan, orchestrate tasks, and reflect on goals
  • Model and Provider Agnostic: Work with any LLM provider - Amazon Bedrock, OpenAI, Anthropic, local models. Switch providers without changing your code.
  • Simple MultiAgent Primitives: Simple primitives for handoffs, swarms, and graph workflows with built-in support for A2A
  • Best in-class AWS integration: Native tools for AWS service interactions. Deploy easily into EKS, Lambda, EC2, and more. Native MCP tool integration.

MCP Integration Made Easy

Model Context Protocol (MCP) transforms how agents access and utilize external data sources. This project showcases how effortlessly you can:

Quick Setup

  • Connect your AWS agent to local data sources
  • Extend agent capabilities with custom tools
  • Maintain secure, standardized communication protocols

Project Structure

mcp_server/
ā”œā”€ā”€ research_server.py    # Core MCP server implementation
ā”œā”€ā”€ mcp_chatbot.py       # Chatbot interface
ā”œā”€ā”€ main.py              # Entry point
ā”œā”€ā”€ research_papers/     # Document storage
└── requirements.txt     # Dependencies

Getting Started

  1. Install Dependencies

    uv init
    uv pip install -r requirements.txt
    
  2. Run the agent which in turn will spaws the server

    python mcp_chatbot.py
    

Use Cases

  • Research paper analysis and summarization
  • Document Q&A systems
  • Knowledge base integration
  • Custom data source connectivity

AWS strand agent

Develop mcp server from scratch