# Taproot

> Use this tool when you need to retain information and recall previous conversations across multiple AI clients. Taproot provides a persistent memory layer, solving the problem of lost context and forgotten notes by allowing you to save and recall information seamlessly. It takes in user notes and outputs recalled information, making it ideal for use cases where continuity and knowledge retention are crucial.

Canonical page: https://skillsregistry.net/skills/com-taproothq-taproot  
JSON: https://api.skillsregistry.net/v1/skills/com-taproothq-taproot

## Description

Persistent memory layer for AI tools. Save and recall notes across Claude and other MCP clients.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 0.4.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.taproothq%2Ftaproot)

## Use it

MCP endpoint published by the skill: `https://connect.taproothq.com/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": "com-taproothq-taproot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-taproothq-taproot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-taproothq-taproot/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