# Storm

> Use this tool when you need to manage and process files in a flexible and scalable manner, or integrate various tools and services into a unified serverless architecture. Storm solves problems related to file upload, processing, and tool handling, providing a modular and extensible framework for internal API management. It accepts file uploads and tool integration requests as inputs, and outputs processed files and API responses, making it ideal for use cases that require efficient and organized file management and tool orchestration.

Canonical page: https://skillsregistry.net/skills/sionic-ai-serverless-rag  
JSON: https://api.skillsregistry.net/v1/skills/sionic-ai-serverless-rag

## Description

A serverless RAG (Retrieval-Augmented Generation) MCP server implementation focused on file management and tool handling. Built with FastAPI and leveraging the MCP framework, this server provides flexible file upload and processing capabilities with a modular architecture for tool integration and internal API management.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sionic-ai-serverless-rag)
- **Repository:** <https://github.com/sionic-ai/serverless-rag-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sionic-ai-serverless-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sionic-ai-serverless-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sionic-ai-serverless-rag/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt