Clockify

Provides programmatic access to Clockify data for projects, users, and time entries via an MCP interface. Includes listing, adding, retrieving entries, and generating summary reports.

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6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "inakianduaga-clockify-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CLOCKIFY_API_KEY=<YOUR_API_KEY>",
        "ghcr.io/inakianduaga/clockify-mcp:latest"
      ],
      "env": {
        "CLOCKIFY_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

This Clockify MCP Server lets LLMs interact with your Clockify workspace to automate time-tracking tasks, run reports, and pull data across projects and users. It provides endpoint-like functionality so you can list projects, list users, add and view time entries, and generate summaries for custom date ranges, all integrated with your preferred MCP client.

How to use

You use the Clockify MCP Server by configuring it in your MCP client settings and starting the server as described. Once connected, you can perform operations such as listing projects, listing users, adding time entries, querying time entries for a user, and generating summary reports by user and project across a date range. The server is designed to work with LLMs to automate time-tracking workflows, generate summaries, and analyze your data across Clockify workspaces.

How to install

Prerequisites you need before starting:

Docker installed on your machine
A Clockify API key to access your workspace

How to install

{
  "mcpServers": {
    "clockify-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e", "CLOCKIFY_API_KEY=<YOUR_API_KEY>",
        "ghcr.io/inakianduaga/clockify-mcp:latest"  
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Additional configuration and usage notes

Obtain a Clockify API key from your Clockify account by generating a new key or copying your existing one. Use this key as the value for CLOCKIFY_API_KEY in the MCP server configuration.

Troubleshooting and tips

If you encounter issues connecting to Clockify, verify that your API key is correct and that the MCP server container can reach the Clockify API endpoints. Ensure the environment variable CLOCKIFY_API_KEY is provided in the server configuration and that the container is running with the proper privileges to access the network.

Notes on security and environment

Treat your Clockify API key as a sensitive credential. Do not share it publicly and use a dedicated key with appropriate permissions for automation tasks.

Tools exposed by the server

listProjects - List all projects for the authenticated user
getTimeEntries - List time entries for the authenticated user (with optional date filters)
addTimeEntry - Add time entries to a project
listUsers - List all users in the workspace
getUserTimeEntries - List time entries for any user (with optional date filters)
getSummaryReport - Get a summary report of hours by user/project for a date range

Available tools

listProjects

Fetch all projects accessible to the authenticated user in Clockify.

getTimeEntries

Retrieve time entries for the authenticated user with optional date filters.

addTimeEntry

Create new time entries for a project on behalf of a user you have permission to modify.

listUsers

List all users within the authenticated Clockify workspace.

getUserTimeEntries

Retrieve time entries for any user, subject to permissions, with optional date filters.

getSummaryReport

Obtain a summary of hours by user and project for a specified date range; supports monthly or custom ranges.

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