# blob-storage

> Use this tool when you need to store and exchange large binary data between MCP clients and agents without overwhelming the LLM context window. It solves the problem of handling massive results by storing them under a unique UUID, allowing for efficient retrieval and exchange. The blob-storage tool accepts large binary payloads as input and returns a UUID for later retrieval, making it ideal for use cases involving big data exchange.

Canonical page: https://skillsregistry.net/skills/shgsousa-blob-storage  
JSON: https://api.skillsregistry.net/v1/skills/shgsousa-blob-storage

## Description

A lightweight MCP data broker that stores large binary payloads under a UUID, enabling MCP clients and agents to exchange massive results without flooding the LLM context window.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pchcvb4t2b)
- **Repository:** <https://github.com/shgsousa/blob-storage>

## 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": "shgsousa-blob-storage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shgsousa-blob-storage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shgsousa-blob-storage/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