How do I obtain a Clockify API key?
Log in to your Clockify account, go to Profile, scroll to the API section, and click Generate (or copy your existing key).
@inakianduaga
Basic information
Clockify Model Context Protocol (MCP) server
Add this server to your MCP-compatible client using the configuration below.
{
"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": []
}
}
}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.
An MCP server that lets LLMs like Cursor or Claude interact with your Clockify workspace for time‑tracking automation and reporting. It enables listing projects, users, time entries, and generating summary reports.
Configure the server in your Cursor or Claude settings.json using Docker, passing your Clockify API key as an environment variable. Then invoke the provided tools (listProjects, getTimeEntries, etc.) from your LLM.
Log in to your Clockify account, go to Profile, scroll to the API section, and click Generate (or copy your existing key).
The server provides six tools: listProjects, getTimeEntries, addTimeEntry, listUsers, getUserTimeEntries, and getSummaryReport.
The server runs as a Docker container. You must have Docker installed and configure the MCP client to use the `ghcr.io/inakianduaga/clockify-mcp:latest` image.
Yes, the project is licensed under the MIT License. See the LICENSE file in the repository for details.
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