clockify-mcp
The Clockify MCP Server provides a Model Context Protocol interface for fully managing Clockify time tracking through AI assistants (Claude Desktop, Cursor, Windsurf, Gemini, Codex CLI), with complete CRUD operations across all core entities:
Workspaces: List all workspaces or get a specific workspace by ID.
Projects: List, get, create (name, color, billable flag, client, hourly rate), update (name, color, archived status, billable flag), and delete projects.
Tasks: List (optionally filtered by project), get, create (name, status, tags, assignees, estimate, billable flag), update, and delete tasks.
Clients: List, get, create (name, billable flag), update, and delete clients.
Tags: List, get, create (name, color, project association), update, and delete tags.
Users: Get the current authenticated user, list all users, get a specific user, add a user to a workspace (name, email, role, status, hourly rate), update, and remove users.
Time Entries: List entries (with optional date range filtering), get a specific entry, create (start/end time, project, task, tags, description, billable flag), update, delete, and get all entries for a specific project.
Reports: Generate summary and detailed time entry reports for a workspace within a specified date range.
Provides full CRUD operations for Clockify entities including workspaces, projects, tasks, clients, tags, users, time entries, and reports, enabling time tracking and management through the Clockify API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@clockify-mcpshow my time entries for today"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Clockify MCP Server
A Model Context Protocol (MCP) server for Clockify that allows interaction with Clockify's time tracking entities through a standardized protocol.
Features
Full CRUD Support: Comprehensive Create, Read, Update, and Delete operations for all core Clockify entities.
Access to Clockify entities:
Workspaces
Projects
Tasks
Clients
Tags
Users
Time Entries
Reports
Time Tracking: Start/stop timers, log time manually, and manage time entries.
Full MCP Support: Standardized protocol for use with any MCP client (Claude Desktop, Cursor, Windsurf, etc.).
Related MCP server: @lewinnovation/clockify-mcp-server
🚀 Quick Start (Hosted)
The fastest way to use Clockify MCP is through our hosted instance at https://kyzu-clockify-mcp.fastmcp.app/mcp.
Add it to your favorite AI tools using these commands:
Codex CLI
codex mcp add --url https://kyzu-clockify-mcp.fastmcp.app/mcp kyzu-clockifyClaude CLI
claude mcp add --scope local --transport http kyzu-clockify https://kyzu-clockify-mcp.fastmcp.app/mcpGemini CLI
gemini mcp add kyzu-clockify https://kyzu-clockify-mcp.fastmcp.app/mcp --transport http🛠️ Local Setup (Self-Hosted)
If you prefer to run the server locally for development or private use.
1. Prerequisites
uv installed on your system.
Clockify API key (get it from Clockify Profile Settings).
2. Installation
git clone https://github.com/antuking/clockify-mcp.git
cd clockify-mcp
uv sync3. Configuration
Create a .env file in the root directory:
CLOCKIFY_API_KEY=your-api-key
CLOCKIFY_WORKSPACE_ID=your-workspace-id # optional4. Running the Server
uv run clockify-mcp5. Using with MCP Clients (Local)
Codex CLI
codex mcp add clockify_mcp \
--env CLOCKIFY_API_KEY=<CLOCKIFY_API_KEY> \
--env CLOCKIFY_WORKSPACE_ID=<CLOCKIFY_WORKSPACE_ID> \
-- uv --directory <REPO_PATH> run clockify-mcpClaude Desktop
{
"mcpServers": {
"clockify": {
"command": "uv",
"args": ["--directory", "<REPO_PATH>", "run", "clockify-mcp"],
"env": {
"CLOCKIFY_API_KEY": "your-api-key",
"CLOCKIFY_WORKSPACE_ID": "your-workspace-id"
}
}
}
}Cursor / Windsurf
{
"name": "Clockify MCP",
"command": "uv",
"args": ["--directory", "<REPO_PATH>", "run", "clockify-mcp"],
"env": {
"CLOCKIFY_API_KEY": "your-api-key",
"CLOCKIFY_WORKSPACE_ID": "your-workspace-id"
}
}Gemini CLI
gemini mcp add clockify \
--env CLOCKIFY_API_KEY=<CLOCKIFY_API_KEY> \
--env CLOCKIFY_WORKSPACE_ID=<CLOCKIFY_WORKSPACE_ID> \
-- uv --directory <REPO_PATH> run clockify-mcpAPI Coverage
This server implements the following Clockify API endpoints:
Workspaces
get_workspaces- List all workspacesget_workspace- Get workspace by ID
Projects
get_projects- List all projects in a workspaceget_project- Get project by IDadd_project- Create a new projectupdate_project- Update an existing projectdelete_project- Delete a project
Tasks
get_tasks- List all tasksget_task- Get task by IDadd_task- Create a new taskupdate_task- Update an existing taskdelete_task- Delete a task
Clients
get_clients- List all clientsget_client- Get client by IDadd_client- Create a new clientupdate_client- Update an existing clientdelete_client- Delete a client
Tags
get_tags- List all tagsget_tag- Get tag by IDadd_tag- Create a new tagupdate_tag- Update an existing tagdelete_tag- Delete a tag
Users
get_current_user- Get the authenticated userget_users- List all users in a workspaceget_user- Get user by IDadd_user- Add a user to a workspaceupdate_user- Update a userdelete_user- Remove a user from a workspace
Time Entries
get_time_entries- List time entries (with optional date range)get_time_entry- Get time entry by IDadd_time_entry- Create a new time entryupdate_time_entry- Update an existing time entrydelete_time_entry- Delete a time entryget_time_entries_for_project- Get time entries for a project
Development
This server is built using:
FastMCP - A Python framework for building MCP servers
Requests - For HTTP communication
python-dotenv - For environment management
Maintenance
Resources
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