# grainjournal

> grainjournal — stuartmhannon-grainjournal-mcp-server. Use this tool when you need to record and reflect on your daily thoughts and experiences without AI influence. Grainjournal solves the problem of maintaining a private and unaltered daily journal by capturing verbatim responses to a daily prompt, storing them as markdown in your vault. It integrates with various tools, accepting text inputs and producing markdown outputs, ideal for users seeking a straightforward and transparent journaling experience.

Canonical page: https://skillsregistry.net/skills/stuartmhannon-grainjournal-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/stuartmhannon-grainjournal-mcp-server

## Description

An MCP-native journaling server that prompts one question per day and captures your responses verbatim, with no AI rewriting or analysis. It integrates with Claude Desktop, Cline, or cron scripts, storing everything as markdown in your vault.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/trja5l7gt2)
- **Repository:** <https://github.com/stuartmhannon/grainjournal-mcp-server>

## 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": "stuartmhannon-grainjournal-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stuartmhannon-grainjournal-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stuartmhannon-grainjournal-mcp-server/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
