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Focuslog MCP Server

@DragonsWho

Repository

Basic information

Category

Data & Analytics

Transports

stdio

Author

DragonsWho

Submitted by

drags who

About Focuslog MCP Server

A background server that logs your desktop activity, calculates your Actions Per Minute (APM), and provides a clean, anonymized timeline of your work on demand. It's designed to be a data source for personal analytics or AI assistants.

#activity-tracking#apm#logging#anonymization#ollama#linux#x11#self-hosted#personal-analytics

Focuslog MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "focuslog": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/DragonsWho/FocusLog"
      ],
      "env": {}
    }
  }
}

Focuslog MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Focuslog?

Focuslog is a background server for Linux (X11) that logs desktop activity, calculates Actions Per Minute (APM), and provides an anonymized timeline of work on demand. It is designed for personal analytics or AI assistants.

How to use Focuslog?

Install system dependencies (xdotool, xprintidle, pygobject, ollama), then clone the repository, create a virtual environment with --system-site-packages, install Python packages from requirements.txt, and copy config.py.example to config.py to set forbidden keywords and other options. Start manually with python focuslog.py in the venv, or deploy as a systemd --user service for continuous background operation.

Key features of Focuslog

  • Periodically records the title of the currently focused window.
  • Tracks keyboard and mouse activity to compute Actions Per Minute.
  • Groups consecutive activities into a compressed timeline.
  • Two‑stage anonymization: hard-coded keyword filter plus local Ollama LLM.
  • Sanitizes excessively long window titles.
  • Configurable settings in a separate config.py file.
  • Can run as a persistent systemd background service.

Use cases of Focuslog

  • Personal productivity analytics by reviewing anonymized desktop activity timelines.
  • Providing a work‑session summary to an AI assistant for time logging or task analysis.
  • Monitoring focus patterns over hours or days without exposing sensitive window titles.

Frequently asked questions

1

What operating systems does Focuslog support?

Focuslog is designed specifically for Linux desktop environments using the X11 display server. It does not work on Windows, macOS, or native Wayland sessions.

2

What are the system dependencies?

You must have `xdotool`, `xprintidle`, `ollama` (with a pulled model, e.g., `gemma3`), and PyGObject (`python3-gi` and related packages) installed.

3

How does anonymization work?

Focuslog uses two stages: a hard-coded list of forbidden keywords (set in `config.py`) is removed first, then a local Ollama LLM intelligently removes any other personally identifiable information.

4

Where is the activity data stored?

Data is saved to a local SQLite database (no external service). The raw records are anonymized on demand when the `get_activity_log` tool is called.

5

Can Focuslog run automatically on login?

Yes. It can be installed as a `systemd --user` service that starts on login and restarts if it crashes. Setup instructions are provided in the README.

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