This MCP Server integrates with AI Tools to manage your time entries in Clockify, so you can register your time entries just sending an prompt to LLM.
Most AI and media services work still happens through a UI a human drives. Clockify MCP server moves it into the conversation instead. This MCP Server integrates with AI Tools to manage your time entries in Clockify, so you can register your time entries just sending an prompt to LLM.
Installation goes through your MCP client rather than a global install: point it at @smithery/cli on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Configuration is passed through the environment: CLOCKIFY_API_URL, CLOCKIFY_API_TOKEN, ABSOLUTE_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by https-eduardo; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Clockify's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"clockify": {
"command": "npx",
"args": ["-y", "@smithery/cli"],
"env": {
"CLOCKIFY_API_URL": "your-value",
"CLOCKIFY_API_TOKEN": "your-value",
"ABSOLUTE_PATH": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| CLOCKIFY_API_URL | Endpoint or connection string the server talks to. | Yes |
| CLOCKIFY_API_TOKEN | Credential the server authenticates with. | Yes |
| ABSOLUTE_PATH | Filesystem location the server is allowed to use. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.