Storm MCP Server With Sionic Ai Serverless Rag

The Storm MCP server is an open protocol that enables seamless integration of LLM applications with RAG data sources and tools, supports custom embedded models and vector database connections, and provides functions such as context sharing, tool systems, and file management.

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update time : 2025-04-23

What is the Storm MCP Server?

The Storm MCP server is an open protocol used to connect large language model (LLM) applications with retrieval - augmented generation (RAG) data sources and tools. By implementing Anthropic's Model Context Protocol, it allows users to use the Storm Platform directly in Claude Desktop.

How to use the Storm MCP Server?

Configure the MCP server through the configuration file and then enable it in Claude Desktop to start using. It supports powerful embedded models and vector database connections.

Applicable Scenarios

Suitable for scenarios that require efficient integration of LLM and RAG solutions, such as enterprise knowledge management, personalized Q&A systems, etc.

Main Features

Context SharingProvides a standardized protocol for efficient interaction between LLMs and data sources.

Tool SystemDefines and calls standard methods for tools, such as uploading files, listing agents, etc.

File ManagementImplements file upload, read, and management operations.

API IntegrationConnects to Storm's API endpoints to provide diverse functions.

Advantages and Limitations

Advantages

Supports seamless integration of multiple LLMs and RAG tools.

Provides strong support for embedded models and vector databases.

Easy to configure and quick to get started.

Limitations

Adapting to complex systems may require additional customization.

Some advanced features may depend on specific environments.

How to Use

Install the Storm MCP Server

Clone the repository and run the startup script.

Configure Claude Desktop

Edit the configuration file to add the MCP server address.

Test the Connection

Ensure that the server is running properly and recognized by Claude Desktop.

Usage Examples

Example 1: Upload a DocumentUpload a local PDF document to the Storm MCP server.

Example 2: Query the Agent ListView the available agents on the current server.

Frequently Asked Questions

How to obtain an API key?

What if the server fails to start?

Which operating systems are supported?

Related Resources

Official Documentation

Detailed introduction to the Model Context Protocol.

GitHub Repository

Source code of the Storm MCP server.

Tutorial Video

Quick start guide.

🚀 Storm MCP Server and Sionic AI Serverless RAG

Storm MCP (Model Context Protocol) Server and Sionic AI Serverless RAG provide a seamless integration solution for LLM applications, data sources, and tools. By implementing the Model Context Protocol, users can leverage the Storm Platform directly on Claude Desktop and enjoy serverless RAG capabilities.

🚀 Quick Start

Storm MCP (Model Context Protocol) Server

The Storm MCP (Model Context Protocol) Server is an open protocol designed to enable smooth integration between LLM applications, their data sources, and tools. By implementing Anthropic's Model Context Protocol, you can use the Storm Platform directly on Claude Desktop.

Combined with Sionic AI's Storm Platform, you can connect and use a custom powerful embedding model with a vector database product portfolio. Simply visit https://sionicstorm.ai, register by proxy unit, and obtain an API Token to start using the serverless RAG feature.

Step-by-step Instructions:

Open the configuration file:

code ~/Library/Application\ Support/Claude/claude_desktop_config.json

Add the following configuration to the JSON file:

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

✨ Features

Server Structure

main.py: Initializes the MCP server and configures event handlers.
core/file_manager.py: Implements the FileSystemManager class for file operations.
core/internal_api.py: Provides client functions to interact with Storm REST API endpoints.
tools/tool_definitions.py: Defines the tools available for the MCP server.
tools/tool_handlers.py: Implements the operation handlers for the tools.
tools/tool_upload_file.py: Implements a dedicated server for file operations with custom MCP handlers.

Architecture

The MCP adopts a three-tier architecture:

Host (LLM Application)
Client (Protocol Implementation)
Server (Function Provider)

The Storm MCP server is responsible for providing resources and tools for LLM use.

📦 Installation

Configuration Example

Here is a complete configuration example:

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

💻 Usage Examples

Basic Usage

To connect the MCP server in the Claude Desktop environment, follow these steps:

Open the configuration file:

code ~/Library/Application\ Support/Claude/claude_desktop_config.json

Add the following configuration to the JSON file:

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

📚 Documentation

Notes

Ensure that the script path is correct.
If you encounter any issues, you can check the log files or refer to the official documentation for assistance.

By following the above steps, you can successfully integrate and run the Storm MCP server in Claude Desktop and experience the powerful serverless RAG capabilities.