# ai.plori/plori

> Use this tool when you need to create and manage multiple AI agents on cloud computers, solving problems that require distributed processing and scalable AI capabilities. It drives plori cloud agents over MCP, providing a flexible interface for inputs and outputs. Ideal for use cases that demand autonomous AI operations, such as complex data processing, machine learning, and large-scale simulations.

Canonical page: https://skillsregistry.net/skills/ai-plori-plori  
JSON: https://api.skillsregistry.net/v1/skills/ai-plori-plori

## Description

Create and drive plori cloud agents and workflows over MCP; each agent has its own cloud computer.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-29

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.plori%2Fplori)
- **Repository:** <https://github.com/plori-ai/plori>

## Use it

MCP endpoint published by the skill: `https://api.plori.ai/mcp`

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": "ai-plori-plori"
    }
  }
}
```

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