C

Clockify Time Tracking

MCP server · by tracegazer

Developer Tools PythonDocker v0.3.2

Clockify time-tracking MCP: 112 tools across 18 domains, read-only by default with opt-in writes.

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Install

Run one of the commands below, then add the client config underneath.

Pythonuvx clockify-mcp
Dockerdocker run -i --rm ghcr.io/tracegazer/clockify-mcp:0.3.2

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "clockify-mcp": {
      "command": "uvx",
      "args": [
        "clockify-mcp"
      ]
    }
  }
}

About this server

Clockify Time Tracking is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python, Docker and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Clockify Time Tracking MCP server?

Clockify Time Tracking is an MCP server by tracegazer. Clockify time-tracking MCP: 112 tools across 18 domains, read-only by default with opt-in writes.

How do I install Clockify Time Tracking?

Install it with: uvx clockify-mcp. Then add the JSON config to your client's MCP settings and restart the client.

Is Clockify Time Tracking free to use?

The MCP server itself is free to install. The source is public on https://github.com/tracegazer/clockify-mcp. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Clockify Time Tracking?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.