activitywatch-mcp-server
Health Pass
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 58 GitHub stars
Code Fail
- child_process — Shell command execution capability in package.json
- execSync — Synchronous shell command execution in package.json
- network request — Outbound network request in package.json
- network request — Outbound network request in src/bucketList.test.ts
- process.env — Environment variable access in src/bucketList.ts
- network request — Outbound network request in src/bucketList.ts
- process.env — Environment variable access in src/config.ts
- process.env — Environment variable access in src/getSettings.test.ts
- network request — Outbound network request in src/getSettings.test.ts
Permissions Pass
- Permissions — No dangerous permissions requested
This is a Model Context Protocol (MCP) server that connects to ActivityWatch, allowing AI models like Claude to interact with your local time-tracking data. It enables LLMs to list buckets, run queries, and read local configuration settings.
Security Assessment
Overall risk: Medium. The automated scan flagged the tool for executing synchronous shell commands (execSync) and making outbound network requests. However, this is expected and normal behavior for a local MCP server. To function, the tool must send network requests to the ActivityWatch local API, and the shell execution is necessary to boot the server process. The tool legitimately accesses environment variables (specifically to configure the local ActivityWatch API host/port). No hardcoded secrets or dangerous permissions were found, and it does not attempt to phone home to external cloud servers.
Quality Assessment
The project is in good health. It is licensed under the standard MIT license. Development appears to be active, with the latest repository push occurring today. While 58 GitHub stars indicate a smaller community footprint, this is perfectly standard for a niche, developer-focused integration tool.
Verdict
Safe to use. The flagged security warnings align with the tool's stated purpose of running a local server and connecting to ActivityWatch.
Model Context Protocol server for ActivityWatch time tracking data
ActivityWatch MCP Server
A Model Context Protocol (MCP) server that connects to
ActivityWatch, allowing LLMs like Claude to
interact with your time tracking data.
Features
- List Buckets: View all available ActivityWatch buckets
- Run Queries: Execute powerful AQL (ActivityWatch Query Language) queries
- Get Raw Events: Retrieve events directly from any bucket
- Get Settings: Access ActivityWatch configuration settings
Installation
You can install the ActivityWatch MCP server either from npm or by building it yourself.
Installing from npm (coming soon)
# Global installation
npm install -g activitywatch-mcp-server
# Or install locally
npm install activitywatch-mcp-server
Building from Source
Clone this repository:
git clone https://github.com/8bitgentleman/activitywatch-mcp-server.git cd activitywatch-mcp-serverInstall dependencies:
npm installBuild the project:
npm run build
Prerequisites
- ActivityWatch installed and running
- Node.js (v14 or higher)
- Claude for Desktop (or any other MCP client)
Usage
Using with Claude for Desktop
Open your Claude for Desktop configuration file:
- Windows:
%APPDATA%\Claude\claude_desktop_config.json - macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
Add the MCP server configuration:
{ "mcpServers": { "activitywatch": { "command": "activitywatch-mcp-server", "args": [] } } }If you built from source, use:
{ "mcpServers": { "activitywatch": { "command": "node", "args": ["/path/to/activitywatch-mcp-server/dist/index.js"] } } }Restart Claude for Desktop
Look for the MCP icon in Claude's interface to confirm it's working
Using a rootless podman container on Linux with Gemini CLI
Make sure to build the image first with:
version=$(npm pkg get version | tr -d '"')
podman build . -t activitywatch-mcp-server:${version}
This example uses the override for Activity Watch not being available on127.0.0.1 (see next section). If not required, you may omit the AW_API_BASE
environment variable.
{
"mcpServers": {
"activitywatch-mcp-server": {
"command": "/usr/bin/podman",
"args": [
"run",
"--rm",
"--interactive",
"--userns=keep-id",
"-e",
"AW_API_BASE",
"localhost/activitywatch-mcp-server:1.2.1"
],
"env": {
"AW_API_BASE": "http://mydesktop.local:5600/api/0"
}
}
}
}
Override ActivityWatch server host/port
If you want to run this MCP server from inside Windows Subsystem for Linux,
for instance within a container, the AW server running in Windows will not be
available at 127.0.0.1. To override the standard localhost connection, use the
environment variable AW_API_BASE or the --aw-api-base flag, as below:
# Using environment variable
export AW_API_BASE=http://mydesktop.local:5600/api/0
node dist/index.js
# Or using command-line flag
node dist/index.js --aw-api-base=http://mydesktop.local:5600/api/0
NOTE: The AW server may be fussy about the name used to connect to it, but it
will accept a name that matches the computer name where it is running with a.local suffix.
Example Queries
Here are some example queries you can try in Claude:
- List all your buckets: "What ActivityWatch buckets do I have?"
- Get application usage summary: "Can you show me which applications I've
used the most today?" - View browsing history: "What websites have I spent the most time on today?"
- Check productivity: "How much time have I spent in productivity apps today?"
- View settings: "What are my ActivityWatch settings?" or "Can you check a
specific setting in ActivityWatch?"
Available Tools
list-buckets
Lists all available ActivityWatch buckets with optional type filtering.
Parameters:
type(optional): Filter buckets by type (e.g., "window", "web", "afk")includeData(optional): Include bucket data in response
run-query
Run a query in ActivityWatch's query language (AQL).
Parameters:
timeperiods: Time period(s) to query formatted as array of strings. For date
ranges, use format:["2024-10-28/2024-10-29"]query: Array of query statements in ActivityWatch Query Language, where each
item is a complete query with statements separated by semicolonsname(optional): Name for the query (used for caching)
IMPORTANT: Each query string should contain a complete query with multiple
statements separated by semicolons.
Example request format:
{
"timeperiods": ["2024-10-28/2024-10-29"],
"query": ["events = query_bucket('aw-watcher-window_UNI-qUxy6XHnLkk'); RETURN = events;"]
}
Note that:
timeperiodsshould have pre-formatted date ranges with slashes- Each item in the
queryarray is a complete query with all statements
get-events
Get raw events from an ActivityWatch bucket.
Parameters:
bucketId: ID of the bucket to fetch events fromstart(optional): Start date/time in ISO formatend(optional): End date/time in ISO formatlimit(optional): Maximum number of events to return
get-settings
Get ActivityWatch settings from the server.
Parameters:
key(optional): Get a specific settings key instead of all settings
Query Language Examples
ActivityWatch uses a simple query language. Here are some common patterns:
// Get window events
window_events = query_bucket(find_bucket("aw-watcher-window_"));
RETURN = window_events;
// Get only when not AFK
afk_events = query_bucket(find_bucket("aw-watcher-afk_"));
not_afk = filter_keyvals(afk_events, "status", ["not-afk"]);
window_events = filter_period_intersect(window_events, not_afk);
RETURN = window_events;
// Group by app
window_events = query_bucket(find_bucket("aw-watcher-window_"));
events_by_app = merge_events_by_keys(window_events, ["app"]);
RETURN = sort_by_duration(events_by_app);
// Filter by app name
window_events = query_bucket(find_bucket("aw-watcher-window_"));
code_events = filter_keyvals(window_events, "app", ["Code"]);
RETURN = code_events;
Configuration
The server connects to the ActivityWatch API at http://localhost:5600 by
default. If your ActivityWatch instance is running on a different host or port,
you can override it as described in the Override ActivityWatch server host/port
section above.
Troubleshooting
ActivityWatch Not Running
If ActivityWatch isn't running, the server will show connection errors. Make
sure ActivityWatch is running and accessible at the specified host/port
address (http://localhost:5600 unless you have overridden it).
Query Errors
If you're encountering query errors:
- Check your query syntax
- Make sure the bucket IDs are correct
- Verify that the timeperiods contain data
- Check ActivityWatch logs for more details
Claude/MCP Query Formatting Issues
If Claude reports errors when running queries through this MCP server, it's
likely due to formatting issues. Make sure your query follows this exact format
in your prompts:
{
"timeperiods": ["2024-10-28/2024-10-29"],
"query": ["events = query_bucket('aw-watcher-window_UNI-qUxy6XHnLkk'); RETURN = events;"]
}
Common issues:
- Time periods not formatted correctly (should be "start/end" in a single string
within an array) - Query statements split into separate array elements instead of being combined
in one string
The Most Common Formatting Issue
The most frequent error is when Claude splits each query statement into its own
array element like this:
{
"query": [
"browser_events = query_bucket('aw-watcher-web');",
"afk_events = query_bucket('aw-watcher-afk');",
"RETURN = events;"
],
"timeperiods": ["2024-10-28/2024-10-29"]
}
This is INCORRECT. Instead, all statements should be in a single string within
the array:
{
"timeperiods": ["2024-10-28/2024-10-29"],
"query": ["browser_events = query_bucket('aw-watcher-web'); afk_events = query_bucket('aw-watcher-afk'); RETURN = events;"]
}
When Prompting Claude
When prompting Claude, be very explicit about the format and use examples. For
instance, say:
"Run a query with timeperiods as ["2024-10-28/2024-10-29"] and query as["statement1; statement2; RETURN = result;"]. Important: Make sure ALL query
statements are in a single string within the array, not split into separate
array elements."
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
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