# Journal

> Use this tool when you need to manage and reflect on personal journal entries, solving problems of data organization and retrieval through features like full-text search and automatic tag extraction. It takes in markdown files and user input, outputting a web-viewable journal with time-stamped entries and statistics. Ideal for users seeking conversational access to their journal data with local file ownership and a clean web interface.

Canonical page: https://skillsregistry.net/skills/coji-journal  
JSON: https://api.skillsregistry.net/v1/skills/coji-journal

## Description

Journal MCP server by coji that provides AI assistants with personal journaling capabilities through markdown file storage and a web viewer interface. The implementation manages daily journal entries with time-stamped entries, automatic tag extraction from hashtags, and full-text search across all entries, storing data in XDG-compliant directories with year/month organization. Built with TypeScript using React Router for the web interface and including tools for adding entries, searching by date ranges/tags/keywords, retrieving recent entries, and viewing statistics, it serves users who want conversational access to their personal journal data while maintaining local file ownership and providing a clean web interface for browsing historical entries.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/coji-journal)
- **Repository:** <https://github.com/coji/journal-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": "coji-journal"
    }
  }
}
```

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