mcpField
C
Clockify MCP Server

Clockify MCP Server

Local
github.com/https-eduardoProductivity27Updated 17w ago
Repository

About Clockify MCP Server

Clockify MCP Server is an MCP server for managing time entries in Clockify. It lets users register time entries by sending a prompt to an LLM from AI tools such as Claude Desktop.

Key features

  1. 01Register time entries through prompts
  2. 02Connects to Clockify using an API token
  3. 03Automatic installation via Smithery
  4. 04Manual setup for Claude Desktop

Use cases

  1. 01Logging daily work time with natural language
  2. 02Managing Clockify time entries from Claude Desktop

MCP support

The project is an MCP server that is added to the claude_desktop_config file, so MCP clients such as Claude Desktop can use it to manage Clockify time entries.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "clockify": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Clockify MCP Server

smithery badge

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.

Using in Claude Desktop

Installing via Smithery

To install clockify-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @https-eduardo/clockify-mcp-server --client claude
Installing Manually

First, install tsx globally

npm i -g tsx

Then insert the MCP server in claude_desktop_config

{
  "mcpServers": {
    "clockify-time-entries": {
      "command": "tsx",
      "args": ["ABSOLUTE_PATH/src/index.ts", "--local"],
      "env": {
        "CLOCKIFY_API_URL": "https://api.clockify.me/api/v1",
        "CLOCKIFY_API_TOKEN": "YOUR_CLOCKIFY_API_TOKEN_HERE"
      }
    }
  }
}

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.