# Mindlify

> Mindlify — co-mindlify-mindlify. Use this tool when you need to visually organize and connect ideas from AI conversations, creating a knowledge map to simplify complex information and improve understanding. Mindlify solves problems of information overload and disorganization by providing a searchable and connectable interface for thoughts and ideas. It takes AI conversation outputs as input and generates visual knowledge maps as output, ideal for use cases where clarity and structure are essential.

Canonical page: https://skillsregistry.net/skills/co-mindlify-mindlify  
JSON: https://api.skillsregistry.net/v1/skills/co-mindlify-mindlify

## Description

Turn AI conversations into visual knowledge maps. Create, connect, search, and organize thoughts.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/co.mindlify%2Fmindlify)

## Use it

MCP endpoint published by the skill: `https://mindlify.co/api/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": "co-mindlify-mindlify"
    }
  }
}
```

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