# Penlog

> Penlog — app-penlog-penlog. Use this tool when you need to digitize handwritten notes and tasks, and have your AI assistant read and write back to your iPad journal over MCP. Penlog solves the problem of manually transcribing handwritten tasks, allowing for seamless integration with AI-powered task management. It takes handwritten input and outputs digitized tasks, making it ideal for users who prefer handwritten notes but want AI-driven organization and productivity.

Canonical page: https://skillsregistry.net/skills/app-penlog-penlog  
JSON: https://api.skillsregistry.net/v1/skills/app-penlog-penlog

## Description

Handwritten iPad journal your AI can read and write tasks back to, over MCP.

## 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:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.penlog%2Fpenlog)

## Use it

MCP endpoint published by the skill: `https://mcp.penlog.app`

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": "app-penlog-penlog"
    }
  }
}
```

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