# Day One Journal

> Use this tool when you need to integrate AI-powered journaling capabilities into your workflow, enabling creation, reading, and searching of journal entries with features like attachments, location data, and metadata. It solves problems related to automated journaling, personal data analysis, and building AI-powered journal assistants. The tool accepts inputs like text content, dates, and tags, and outputs journal entries, entry counts, and search results, making it ideal for use cases like 'On This Day' functionality and journal history analysis.

Canonical page: https://skillsregistry.net/skills/quevin-dayone  
JSON: https://api.skillsregistry.net/v1/skills/quevin-dayone

## Description

MCP server for Day One Journal integration that enables AI assistants to create, read, and search journal entries through both the Day One CLI and direct database access. Created by Kevin Davison, it provides comprehensive journaling capabilities including entry creation with attachments, location data, tags, and metadata, plus advanced features like searching entries by text content, retrieving entries by specific dates across multiple years ('On This Day' functionality), and listing journals with entry counts. The implementation combines CLI operations for writing with SQLite database queries for reading, making it valuable for automated journaling workflows, personal data analysis, and building AI-powered journal assistants that can both contribute to and analyze your Day One journal history.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

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

## 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": "quevin-dayone"
    }
  }
}
```

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