# 0pi-mcp-server

> Use this tool when you need to temporarily store and retrieve data objects in a cloud-based environment, ideal for managing large datasets, generating shareable links, or bridging information between workflows, with a simple interface that accepts any data format and automatically expires after two hours. It solves problems of data persistence and sharing across sessions and contexts. Suitable for use cases where temporary data storage is required, such as complex workflows or collaborative agent interactions.

Canonical page: https://skillsregistry.net/skills/dizzydes-0pi-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/dizzydes-0pi-mcp-server

## Description

Store and retrieve data objects for free. Temporary cloud storage for agents. Two hour expiry. Works with any format and flow.
Example use cases include:

* Manage large datasets across different sessions
* Generate shareable links for intermediate results
* Streamline complex workflows by bridging information between multiple contexts

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o3qpq0rrf5)
- **Repository:** <https://github.com/dizzydes/0pi-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": "dizzydes-0pi-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dizzydes-0pi-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dizzydes-0pi-mcp-server/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