# Mind Cloud Lite

> Use this tool when you need to optimize memory management with a lightweight solution, reducing token usage by 87% while still accessing essential tools. Mind Cloud Lite solves memory-related problems for Claude Pro users, providing a persistent memory server with 9 key tools. It takes in user input and outputs optimized memory management, ideal for users seeking a streamlined alternative to the full version.

Canonical page: https://skillsregistry.net/skills/codependentai-mind-cloud-lite  
JSON: https://api.skillsregistry.net/v1/skills/codependentai-mind-cloud-lite

## Description

Token-optimized persistent memory MCP server for Claude Pro users, providing 9 essential tools for memory management with 87% token reduction compared to full version.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j1n5gbtr54)
- **Repository:** <https://github.com/codependentai/mind-cloud-lite>

## 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": "codependentai-mind-cloud-lite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/codependentai-mind-cloud-lite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/codependentai-mind-cloud-lite/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