# Claude Conversations to Markdown

> Use this tool when you need to save and organize conversation content from AI interactions in a readable format. It converts conversations to markdown files or Apple Notes, solving the problem of manual copying and pasting, and providing easy reference and sharing of conversation outputs. The tool takes conversation content as input and produces formatted markdown files or notes as output, ideal for users of Claude desktop seeking efficient content preservation and formatting.

Canonical page: https://skillsregistry.net/skills/29decibel-record-to-markdown  
JSON: https://api.skillsregistry.net/v1/skills/29decibel-record-to-markdown

## Description

This Record to Markdown MCP implementation, developed by 29decibel, provides a Python-based interface for AI assistants to save conversation content to markdown files or Apple Notes. Built using libraries like httpx, markdown2, and mcp, it offers tools for converting markdown to HTML and creating notes with AppleScript integration. The implementation focuses on efficient content preservation and formatting, making it easier for AI models to store and organize conversation outputs. It's particularly useful for users of Claude desktop who want to automatically save their AI interactions, enabling easy reference, sharing, or further analysis of conversation content without manual copying and pasting.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/29decibel-record-to-markdown)
- **Repository:** <https://github.com/29decibel/record-to-markdown>

## 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": "29decibel-record-to-markdown"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/29decibel-record-to-markdown` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/29decibel-record-to-markdown/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