log-reflect-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@log-reflect-mcpsearch my journal for mentions of 'focus' this month"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
log-reflect-mcp
log-reflect-mcp is a local-first MCP server for a personal recording system. It gives an AI client a small, explicit interface for capturing and retrieving Markdown records while keeping the records in a separate repository.
It is designed to work with the directory conventions used by log-reflect-practice:
daily/
├── journal/{YYYY}/{YYYYMM}/
└── inputs/{YYYY}/{YYYYMM}/
practices/Current scope
The first version intentionally exposes only four tools:
capture_journal: create or append a personal journal fragment.capture_input: save an external input as a Markdown note.get_records_by_date_range: retrieve journal and input records for review.search_records: search record contents.
The MCP server handles access and storage. Agent Skills remain responsible for judgment: how lightly to edit a journal, what belongs in an input note, how to review seven days, and when a recurring theme is ready to become a Practice.
Related MCP server: ai-journal
Safety boundaries
The source repository contains no personal records or credentials.
The server can only read
daily/journal/anddaily/inputs/.New records are written only inside those two directories.
Existing input files are never silently overwritten.
If more than one journal file exists for a date, the write stops instead of guessing.
Setup
Requirements: Node.js 22 or later.
npm install
cp .env.example .envSet the absolute path to your records repository:
RECORDS_REPO_PATH=/absolute/path/to/log-reflect-practiceBuild and start the stdio server:
npm run build
RECORDS_REPO_PATH=/absolute/path/to/log-reflect-practice npm startExample client configuration
After building, point an MCP client at the compiled server:
{
"mcpServers": {
"log-reflect": {
"command": "node",
"args": ["/absolute/path/to/log-reflect-mcp/dist/src/server.js"],
"env": {
"RECORDS_REPO_PATH": "/absolute/path/to/log-reflect-practice",
"RECORDS_TIME_ZONE": "America/Los_Angeles"
}
}
}
}Development
npm run check
npm testTo inspect the tools interactively:
npx @modelcontextprotocol/inspector node dist/src/server.jsRoadmap
Add MCP resources for reading individual records.
Add review and develop-practice prompts without moving judgment into storage code.
Add an opt-in Git commit workflow.
Add a GitHub-backed storage adapter.
Add Streamable HTTP and OAuth only after the local workflow is stable.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseAqualityDmaintenanceEnables creating, managing, and searching Markdown notes with support for tags, timestamps, and full-text search. Includes AI prompts for analyzing and summarizing notes.61MIT
- AlicenseNot gradedqualityBmaintenanceA local MCP server for journaling, organizing, and recalling your work. It captures entries as plain markdown files, indexes them for full-text and structured search, and enables querying via natural language.1MIT
- AlicenseNot gradedqualityDmaintenanceProvides persistent long-term memory for AI assistants with tag-based retrieval, wiki-style linking, and source references, storing memories as markdown files with SQLite index.1MIT
- FlicenseNot gradedqualityDmaintenanceEnables writing text content to Markdown files with folder organization and overwrite control, and listing recent Markdown files.
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