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How to integrate Clockify MCP with CrewAI

Connect CrewAI to Clockify MCP. List all your active workspaces, add a new client to marketing workspace, and more using natural language, with authentication handled for you.

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Clockify is a free time tracking software for individuals and teams to monitor work hours across projects. Track, manage, and report time for better productivity and transparency.

74 Tools

Introduction

This guide walks you through connecting Clockify to CrewAI using the Composio tool router. By the end, you'll have a working Clockify agent that can log time entries, manage projects and tasks, generate detailed and weekly reports, organize clients and tags, and stop running timers through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Clockify account through Composio's Clockify MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Clockify with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexPydantic AIAutoGen

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Clockify connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Clockify
  • Build a conversational loop where your agent can execute Clockify operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

What is the Clockify MCP server, and what's possible with it?

The Clockify MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Clockify account. It provides structured and secure access to your team's time tracking data, so your agent can perform actions like managing clients, handling workspace users, setting up webhooks, and retrieving workspace details on your behalf.

  • Workspace user management: Let your agent list all users in a workspace, filter users by advanced criteria, or find team managers for more efficient team organization.
  • Client creation and deletion: Easily create new clients or remove existing ones from your workspace, streamlining project onboarding and cleanup.
  • Webhook automation: Enable your agent to create, delete, and manage webhooks for real-time notifications and integrations with other tools.
  • Workspace overview and navigation: Retrieve a list of all workspaces you belong to, empowering your agent to access and organize time tracking across multiple teams or projects.
  • Addon and webhook token management: Generate new webhook tokens and list all addon webhooks, ensuring secure and automated integrations with third-party services.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Clockify connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Clockify via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Clockify MCP URL
6

Create a Composio Tool Router session for Clockify

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["clockify"])

url = session.mcp.url
What's happening:
  • You create a Clockify only session through Composio
  • Composio returns an MCP HTTP URL that exposes Clockify tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Clockify and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["clockify"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Clockify through Composio's Tool Router. The agent can perform Clockify operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
TOOLS

Supported Tools

Every Clockify action and event your agent gets out of the box.

Add User to Group

Tool to add a user to a user group in a Clockify workspace.

Create Client

Tool to add a new client to a workspace.

Create New Project

Create a project in a Clockify workspace with a name and optional color, billable status, and client association.

Create Shared Report

Create a shared summary, detailed, or weekly report with a date range and summary grouping options in a Clockify workspace.

Create Tag

Create a named tag in a Clockify workspace.

Create Task

Tool to add a new task to a project in Clockify.

Create Templates On Workspace

Create one or more templates in a Clockify workspace with associated projects and optional time entries.

Create Time Entry

Tool to create a new time entry in a Clockify workspace.

Create User Group

Tool to create a new user group in a workspace.

Create User Time Entry

Tool to create a time entry for another user in a Clockify workspace.

Create Webhook

Tool to create a new webhook in a workspace.

Create Workspace

Creates a new Clockify workspace for time tracking and project management in the specified organization.

Delete Client

Deletes a client from a Clockify workspace.

Delete Project

Tool to delete a project from a workspace.

Delete Shared Report

Tool to delete a shared report from a workspace by ID.

Delete Tag

Tool to delete a tag from a Clockify workspace.

Delete Task

Tool to delete a task from a project in Clockify.

Delete Template

Delete a template from a Clockify workspace using the deprecated template API.

Delete Time Entry

Tool to delete a time entry from a workspace by ID.

Delete User Group

Tool to delete a user group from a workspace.

Delete User Time Entries

Tool to delete multiple time entries for a user in a workspace.

Delete Webhook

Tool to delete a webhook from a workspace.

Duplicate Time Entry

Tool to duplicate an existing time entry in a Clockify workspace.

Filter Workspace Users

Tool to filter users in a workspace by advanced criteria.

Find User's Team Managers

Retrieves the list of team managers assigned to a specific user in a Clockify workspace.

Generate Detailed Report

Generates a detailed time-entry report with filtering and pagination for a workspace.

Generate Expense Report

Generate a detailed expense report for a workspace and date range, limited to 31 days on the free plan.

Generate New Webhook Token

Generate a new token for a workspace webhook, invalidating its previous token.

Generate Summary Report

Generate a workspace time-entry summary report grouped by projects, users, clients, or other criteria.

Generate Weekly Report

Generate a weekly workspace time-entry report with breakdowns grouped by user, project, task, or other dimensions.

Get All Addon Webhooks

Tool to list all webhooks for an addon in a workspace.

Get All My Workspaces

Lists workspaces accessible to the authenticated user, optionally filtered by roles.

Get All Webhooks

Tool to list all webhooks in a workspace.

Get Client By ID

Retrieves detailed information about a specific client in a Clockify workspace.

Get Clients

Tool to list clients in a workspace.

Get Created Entities

Retrieves created entities of a specified type in a workspace using the experimental API.

Get Currently Logged In User Info

Tool to retrieve info about the authenticated user.

Get Deleted Entities

Requests deleted entities of a specified type in a workspace through the experimental API.

Get Holidays

Tool to retrieve all holidays for a workspace.

Get Holidays In Period

Tool to retrieve holidays in a specific period.

Get In Progress Time Entries

Retrieve a page of currently running time entries in a workspace to check active timers and who is tracking time.

Get member's profile

Tool to get a member's profile in a workspace.

Get Project

Tool to retrieve detailed information about a specific project by ID.

Get Projects

Tool to list projects in a workspace with filtering and pagination.

Get Shared Report

Generate a shared report by ID using the Clockify Reports API.

Get Shared Reports

Retrieve the first page of shared reports for the current user in a Clockify workspace.

Get Tag By ID

Tool to retrieve detailed information about a specific tag by ID in a Clockify workspace.

Get Tags

List a page of workspace tags, optionally filtering by name or archived status.

Get Task

Retrieves detailed information about a specific task in a Clockify project.

Get Tasks

List, search, or filter a page of tasks on a specific project in a workspace.

Get Templates On Workspace

List a page of templates in a Clockify workspace, optionally filtered by name.

Get Time Entries

Tool to retrieve historical time entries for a user in a workspace with filters.

Get Time Entry

Tool to retrieve a specific time entry by ID from a workspace.

Get Updated Entities

Retrieve updated workspace entities using the experimental API for one supported type: time entries, time entry rates, time entry custom field values, or custom fields.

Get User Groups

List a page of user groups in a workspace.

Get Webhook By ID

Retrieves detailed information about a specific webhook in a Clockify workspace.

Get Webhook Logs

Tool to retrieve webhook logs for a specific webhook.

Get Workspace Info

Retrieves detailed information about a specific Clockify workspace.

List Assignments

Lists a page of scheduling assignments in a workspace, starting from a specified date and optionally bounded by an end date.

Remove User From Group

Remove a user from a Clockify user group.

Stop User Timer

Tool to stop a currently running timer for a user in a workspace.

Update Client

Updates a client in a Clockify workspace, including details such as name, email, address, or archived status.

Update Project

Tool to update an existing project in a Clockify workspace.

Update Project Memberships

Tool to update project memberships in Clockify.

Update Project User Hourly Rate

Tool to update a project user's billable rate.

Update Shared Report

Update a shared report's name, public visibility, and fixed-date setting in Clockify.

Update Tag

Tool to update a tag in a Clockify workspace.

Update Task

Tool to update an existing task on a project in Clockify.

Update Time Entries

Bulk updates multiple time entries for a specified user in a Clockify workspace, including start/end times, descriptions, billable status, and project or task associations.

Update Time Entry

Tool to update an existing time entry in a Clockify workspace.

Update User Group

Tool to update an existing user group in a workspace.

Update User Hourly Rate

Tool to update a user's hourly rate in a Clockify workspace.

Update Webhook

Updates a workspace webhook's configuration, including its name, URL, event type, and trigger sources.

Update Workspace Hourly Rate

Tool to update the workspace billable hourly rate.

FRAMEWORKS

How to build Clockify MCP Agent with another framework

Claude Code logo

Claude Code

Use Clockify MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Clockify MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Clockify MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Clockify MCP with Claude Agent SDK

Codex logo

Codex

Use Clockify MCP with Codex

OpenClaw logo

OpenClaw

Use Clockify MCP with OpenClaw

Hermes logo

Hermes

Use Clockify MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Clockify MCP with Atomic Agent

Google ADK logo

Google ADK

Use Clockify MCP with Google ADK

LangChain logo

LangChain

Use Clockify MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Clockify MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Clockify MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Clockify MCP with LlamaIndex

Pydantic AI logo

Pydantic AI

Use Clockify MCP with Pydantic AI

AutoGen logo

AutoGen

Use Clockify MCP with AutoGen

FAQ

Frequently asked questions

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