Storm
An open protocol server that implements Anthropic's Model Context Protocol to enable seamless integration between LLM applications and RAG data sources using Sionic AI's Storm Platform.
What is Storm?
Storm is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to open protocol server that implements anthropic's model context protocol to enable seamless integration between llm applications and rag data sources using sionic ai's storm platform.
An open protocol server that implements Anthropic's Model Context Protocol to enable seamless integration between LLM applications and RAG data sources using Sionic AI's Storm Platform.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An open protocol server that implements Anthropic's Model Co
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx storm-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Storm
Storm MCP Server connects LLM applications to Sionic AI's Storm Platform, a serverless RAG (Retrieval-Augmented Generation) service that provides hosted vector storage, document ingestion, and agent-based retrieval. The server implements the Model Context Protocol so AI assistants like Claude can list available agents and storage buckets, upload documents for indexing, and issue chat queries that retrieve contextually relevant content from your private knowledge base. Organizations that want to add RAG capabilities to their AI workflows without managing vector database infrastructure will find this a streamlined option.
Prerequisites
- Python 3.10+ with the uv package manager
- A Sionic AI Storm account with an API key from https://sionicstorm.ai
- The STORM_API_KEY environment variable set to your Storm API token
- An MCP-compatible client such as Claude Desktop or Claude Code
Clone the Storm MCP server repository
Clone the serverless-rag-mcp-server repository from Sionic AI to your local machine.
git clone https://github.com/sionic-ai/serverless-rag-mcp-server.git
cd serverless-rag-mcp-serverSet up a Python virtual environment with uv
The project uses uv for environment management. Create a virtual environment and install dependencies.
pip install uv
uv venv
source .venv/bin/activate
uv pip install -r requirements.txtConfigure your Storm API key
Set your STORM_API_KEY in the run script. Open scripts/run.sh and replace the empty value with your actual API key from the Storm dashboard.
export STORM_API_KEY='your_storm_api_key_here'Test the server locally
Run the MCP server directly to confirm it starts without errors and can reach the Storm API.
sh scripts/run.shAdd the server to your Claude Desktop configuration
Edit claude_desktop_config.json to point to the run script so Claude Desktop can launch the Storm MCP server automatically.
{
"mcpServers": {
"storm": {
"command": "sh",
"args": ["/absolute/path/to/serverless-rag-mcp-server/scripts/run.sh"]
}
}
}Storm Examples
Client configuration
Claude Desktop config to launch the Storm MCP server via its run script.
{
"mcpServers": {
"storm": {
"command": "sh",
"args": ["/path/to/serverless-rag-mcp-server/scripts/run.sh"]
}
}
}Prompts to try
Once connected, use these prompts to interact with your Storm knowledge base.
- "List all available Storm agents and their descriptions"
- "List all storage buckets in my Storm account"
- "Upload the file /path/to/document.pdf to the knowledge base bucket"
- "Search the knowledge base for information about our Q3 product roadmap"
- "Send a chat query to the default agent: what does our refund policy say?"Troubleshooting Storm
Authentication error when starting the server
Verify STORM_API_KEY is set correctly in scripts/run.sh. Obtain a fresh token from the Storm dashboard at https://sionicstorm.ai and ensure there are no extra spaces or quotes around the value.
uv command not found during setup
Install uv via pip: pip install uv. Alternatively, use a standard virtualenv: python3 -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt.
Claude Desktop cannot find the run script
Use the absolute path to scripts/run.sh in the config — not a relative path. Run pwd inside the cloned directory to get the full path, then prepend it to scripts/run.sh.
Frequently Asked Questions about Storm
What is Storm?
Storm is a Model Context Protocol (MCP) server that open protocol server that implements anthropic's model context protocol to enable seamless integration between llm applications and rag data sources using sionic ai's storm platform. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Storm?
Follow the installation instructions on the Storm GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Storm?
Storm works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Storm free to use?
Yes, Storm is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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