Serverless Rag MCP Server

🚀 Storm MCP Server Documentation

The Storm MCP Server is a powerful tool that enables seamless communication between large language models (LLMs) and RAG data sources. This documentation provides a detailed overview of its features, setup instructions, and configuration details to help you get started quickly.

🚀 Quick Start

Prerequisites

Before setting up the Storm MCP Server, make sure you have the following:

• Operating System: Linux, macOS, or Windows (Linux is recommended).
• Python Version: Python 3.8 or higher.
• Dependencies: Ensure all required libraries are installed.

Installation Steps

1. Clone the Repository:

   git clone https://github.com/your-repository.git
   cd mcp-server
   

2. Install Dependencies:

   pip install -r requirements.txt
   

3. Run the Server:

   python main.py
   

✨ Features

What is MCP?

MCP (Model Context Protocol) is a protocol designed to facilitate communication between large language models (LLMs) and RAG (Retrieval-Augmented Generation) data sources. It allows for effective collaboration between these systems on complex tasks.

Key Features

• Efficient Communication: Enables seamless interaction between LLMs and RAG systems.
• Enhanced Capabilities: Leverages the strengths of both LLMs and RAG systems to improve task execution.
• Flexibility: Supports integration with multiple RAG sources and various LLM providers.

📦 Installation

Prerequisites

• Operating System: Linux, macOS, or Windows (Linux is recommended).
• Python Version: Python 3.8 or higher.
• Dependencies: Ensure all required libraries are installed.

Installation Steps

1. Clone the Repository:

   git clone https://github.com/your-repository.git
   cd mcp-server
   

2. Install Dependencies:

   pip install -r requirements.txt
   

3. Run the Server:

   python main.py
   

💻 Usage Examples

Basic Usage

To start using the Storm MCP Server, follow the installation steps above. Once the server is running, you can integrate it with your LLM and RAG systems. Here is a simple example of how to configure the server using a JSON file:

{
  "mcp_servers": {
    "storm": {
      "command": "sh",
      "args": [
        "/Users/sigurðjóansson/Desktop/work/storm-mcp-server/scripts/run.sh"
      ]
    }
  }
}

📚 Documentation

Configuration

The server can be configured using a JSON file. Here is an example of the configuration file structure:

{
  "mcp_servers": {
    "storm": {
      "command": "sh",
      "args": [
        "/Users/sigurðjóansson/Desktop/work/storm-mcp-server/scripts/run.sh"
      ]
    }
  }
}

Security and Privacy

• Authentication: Secure access can be managed using API keys or tokens.
• Data Protection: Encrypted communication channels are recommended for data security.

🔧 Technical Details

The Storm MCP Server is designed to provide efficient communication between LLMs and RAG data sources. It leverages the Model Context Protocol to enable seamless interaction and collaboration between these systems. By integrating with multiple RAG sources and LLM providers, it offers enhanced capabilities and flexibility for complex task execution.

📄 License

No license information is provided in the original document.

💡 Usage Tip

• When setting up the server, make sure to follow the installation steps carefully to avoid any issues.
• For detailed troubleshooting steps, refer to the Troubleshooting Guide.

⚠️ Important Note

• Common issues may include connection errors, performance bottlenecks, and security concerns. If you encounter any problems, refer to the troubleshooting guide for solutions.

References

• Storm MCP Server Homepage
• GitHub Repository
• Comprehensive Documentation