# Notesnook

> Use this tool when you need to integrate AI agents with encrypted note-taking capabilities, solving problems of secure data access and automation. It bridges Notesnook with AI agents through bidirectional filesystem sync, accepting Markdown notes as input and outputting searchable, indexed notes over HTTP/SSE. Ideal for use cases requiring automated note management, to-do list handling, and secure data exchange between Notesnook and AI agents.

Canonical page: https://skillsregistry.net/skills/johnfire-notesnook  
JSON: https://api.skillsregistry.net/v1/skills/johnfire-notesnook

## Description

Bridges the Notesnook encrypted note-taking app with AI agents through bidirectional filesystem sync. Notes are exported from Notesnook as Markdown, indexed in a local SQLite database, and exposed over HTTP/SSE. Provides tools for searching, creating, and updating notes, managing notebooks, and handling to-do lists. Sync runs automatically via an hourly cron and filesystem watcher.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/johnfire-notesnook)
- **Repository:** <https://github.com/johnfire/openclaw-notesnook-mcp>

## 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": "johnfire-notesnook"
    }
  }
}
```

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