Clockify MCP

Connect Clockify to your AI agents using the Model Context Protocol (MCP), enabling seamless integration with clockify.me's services through standardized interfaces.

  • clockify.me

    List Workspaces

    Get all workspaces for the authenticated user. Each workspace has projects, clients, and team members.
    clockify
    workspace
    list
  • clockify.me

    List Projects

    Get all projects in a workspace. Projects organize time entries and tasks.
    clockify
    project
    list
  • clockify.me

    Create Project

    Create a new project in a workspace. Projects help organize time tracking by client or initiative.
    clockify
    project
    create
  • clockify.me

    List Time Entries

    Get time entries for a user in a workspace. Time entries track actual hours worked on projects and tasks.
    clockify
    time-entry
    list
  • clockify.me

    List Tasks

    Get all tasks in a project. Tasks break down project work into trackable units.
    clockify
    task
    list
  • clockify.me

    Create Task

    Create a new task in a project. Tasks help organize and track specific work items.
    clockify
    task
    create
  • clockify.me

    Call Clockify API

    Make a generic API call to Clockify. This is a flexible template that can be used to call any Clockify API endpoint by specifying the method, URL, and request body.
    clockify
    api
    call
    generic
  • clockify.me

    Install Clockify Tools

    Installs Clockify tools into the conversation. You can manage workspaces, projects, time entries, and tasks.
    clockify
    pack
    beta
  • clockify.me

    Install Clockify Search Tools

    Installs read-only Clockify tools into the conversation. You can list workspaces, projects, time entries, and tasks without modification.
    read only
    clockify
    pack
    beta

    • What is Clockify MCP?

    The Model Context Protocol (MCP) is an open standard that provides a unified way for AI applications to connect with external tools and data sources. Instead of building custom integrations for every service, MCP provides a standardized interface that allows AI models to discover available tools, understand their capabilities, and execute them safely and securely.

    With Clockify MCP integration, you can:

    • Dynamically discover tools: Your AI agents automatically find and understand Clockify's available capabilities through the MCP server
    • Standardized integration: Use a consistent protocol instead of learning platform-specific APIs
    • Real-time capabilities: Tools are loaded and executed on-demand during conversations
    • Secure execution: Maintain proper authentication and isolation through ChatBotKit's MCP implementation
    • No custom coding: Leverage Clockify's functionality without writing integration code

    How Clockify MCP Works

    ChatBotKit's MCP action provides a powerful way to dynamically extend your AI agent's capabilities by loading tools from Clockify's MCP server.

    Connect to MCP Server

    ChatBotKit establishes a connection to Clockify API endpoints, initiating secure communication.

    Discover Available Tools

    The system automatically discovers all available Clockify tools and their schemas through the MCP protocol.

    Load Tool Definitions

    Tool definitions are loaded into your conversation context, making them available to your AI agent.

    Execute Securely

    Your AI uses these tools as if they were native abilities, with secure execution and proper authentication.

    MCP Integrations

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