# claude-journal

> Use this tool when you need to store and manage data locally without machine learning dependencies, leveraging SQLite for fast and efficient storage. It solves problems of data persistence and retrieval in Claude Code applications, providing a lightweight journaling system. Ideal for use cases requiring simple, reliable, and local data storage with minimal dependencies.

Canonical page: https://skillsregistry.net/skills/chrismbryant-claude-journal-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chrismbryant-claude-journal-mcp

## Description

A lightweight journal/memory system for Claude Code with no ML dependencies, using SQLite for fast local storage.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xroiqg2vk9)
- **Repository:** <https://github.com/chrismbryant/claude-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": "chrismbryant-claude-journal-mcp"
    }
  }
}
```

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