Clockify with AutoGen

How to integrate Clockify MCP with Autogen

Trusted by

GET STARTED FOR FREE GET A DEMO

30 min · no commitment · see it on your stack

Introduction Also integrate Clockify with TL;DR What is AutoGen What is the Clockify MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Clockify MCP Agent with another framework Explore Other Toolkits FAQ

Connect Clockify without Auth hassles

We manage OAuth, API Key, token refresh, and scopes, you just build.

Try for Free

Introduction

This guide walks you through connecting Clockify to AutoGen using the Composio tool router. By the end, you'll have a working Clockify agent that can list all your active workspaces, add a new client to marketing workspace, show all users on design team workspace through natural language commands.

This guide will help you understand how to give your AutoGen 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.

Also integrate Clockify with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

Get and set up your OpenAI and Composio API keys
Install the required dependencies for Autogen and Composio
Initialize Composio and create a Tool Router session for Clockify
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Clockify tools
Run a live chat loop where you ask the agent to perform Clockify operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

Multi-Agent Systems: Build collaborative agent workflows
MCP Workbench: Native support for Model Context Protocol tools
Streaming HTTP: Connect to external services through streamable HTTP
AssistantAgent: Pre-built agent class for tool-using assistants

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.

Supported Tools & Triggers

Tools

Add User to GroupTool to add a user to a user group in a Clockify workspace.

Create ClientTool to add a new client to a workspace.

Create New ProjectTool to create a new project in a Clockify workspace.

Create Shared ReportTool to create a shared report in Clockify.

Create TaskTool to add a new task to a project in Clockify.

Create Templates On WorkspaceTool to create templates on a Clockify workspace.

Create Time EntryTool to create a new time entry in a Clockify workspace.

Create User GroupTool to create a new user group in a workspace.

Create User Time EntryTool to create a time entry for another user in a Clockify workspace.

Create WebhookTool to create a new webhook in a workspace.

Create WorkspaceTool to create a new workspace in Clockify.

Delete ClientPermanently deletes a client from a Clockify workspace.

Delete ProjectTool to delete a project from a workspace.

Delete Shared ReportTool to delete a shared report from a workspace by ID.

Delete TagTool to delete a tag from a Clockify workspace.

Delete TaskTool to delete a task from a project in Clockify.

Delete TemplateTool to delete a template from a Clockify workspace.

Delete Time EntryTool to delete a time entry from a workspace by ID.

Delete User GroupTool to delete a user group from a workspace.

Delete User Time EntriesTool to delete multiple time entries for a user in a workspace.

Delete WebhookTool to delete a webhook from a workspace.

Duplicate Time EntryTool to duplicate an existing time entry in a Clockify workspace.

Filter Workspace UsersTool to filter users in a workspace by advanced criteria.

Find User's Team ManagersRetrieves the list of team managers assigned to a specific user in a Clockify workspace.

Generate Detailed ReportTool to generate a detailed time entry report with filtering and pagination.

Generate Expense ReportTool to generate a detailed expense report for a Clockify workspace.

Generate New Webhook TokenTool to generate a new webhook token.

Generate Summary ReportTool to generate a summary report for time entries in a Clockify workspace.

Generate Weekly ReportTool to generate a weekly time entry report for a workspace with grouped data.

Get All Addon WebhooksTool to list all webhooks for an addon in a workspace.

Get All My WorkspacesTool to list all workspaces the user belongs to.

Get All WebhooksTool to list all webhooks in a workspace.

Get Client By IDRetrieves detailed information about a specific client in a Clockify workspace.

Get ClientsTool to list clients in a workspace.

Get Created EntitiesTool to retrieve created entities within a workspace (Experimental).

Get Currently Logged In User InfoTool to retrieve info about the authenticated user.

Get Deleted EntitiesTool to retrieve information about entities deleted within a date range (Experimental API).

Get HolidaysTool to retrieve all holidays for a workspace.

Get Holidays In PeriodTool to retrieve holidays in a specific period.

Get In Progress Time EntriesTool to retrieve all currently running time entries in a workspace.

Get member's profileTool to get a member's profile in a workspace.

Get ProjectTool to retrieve detailed information about a specific project by ID.

Get ProjectsTool to list projects in a workspace with filtering and pagination.

Get Shared ReportTool to retrieve a shared report by ID from Clockify.

Get Shared ReportsTool to retrieve all shared reports in a workspace.

Get Tag By IDTool to retrieve detailed information about a specific tag by ID in a Clockify workspace.

Get TagsTool to find and list tags in a workspace.

Get TaskRetrieves detailed information about a specific task in a Clockify project.

Get TasksTool to find all tasks on a specific project in a workspace.

Get Templates On WorkspaceTool to list all templates in a workspace.

Get Time EntriesTool to retrieve historical time entries for a user in a workspace with filters.

Get Time EntryTool to retrieve a specific time entry by ID from a workspace.

Get Updated EntitiesTool to retrieve entities that have been updated in a workspace (Experimental).

Get User GroupsTool to find all user groups in a workspace.

Get Webhook By IDRetrieves detailed information about a specific webhook in a Clockify workspace.

Get Webhook LogsTool to retrieve webhook logs for a specific webhook.

Get Workspace InfoRetrieves detailed information about a specific Clockify workspace.

List AssignmentsTool to retrieve all scheduling assignments in a workspace.

Remove User From GroupTool to remove a user from a group in Clockify.

Stop User TimerTool to stop a currently running timer for a user in a workspace.

Update ClientTool to update an existing client in a Clockify workspace.

Update ProjectTool to update an existing project in a Clockify workspace.

Update Project MembershipsTool to update project memberships in Clockify.

Update Project User Hourly RateTool to update a project user's billable rate.

Update Shared ReportTool to update an existing shared report in Clockify.

Update TagTool to update a tag in a Clockify workspace.

Update TaskTool to update an existing task on a project in Clockify.

Update Time EntriesTool to bulk update multiple time entries in a Clockify workspace.

Update Time EntryTool to update an existing time entry in a Clockify workspace.

Update User GroupTool to update an existing user group in a workspace.

Update User Hourly RateTool to update a user's hourly rate in a Clockify workspace.

Update WebhookTool to update a webhook in a workspace.

Update Workspace Hourly RateTool to update the workspace billable hourly rate.

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:

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

Step-by-step Guide

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Clockify account you can connect to Composio
Some basic familiarity with Autogen and Python async

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.

Install dependencies

bash

pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to Clockify via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

COMPOSIO_API_KEY is required to talk to Composio
OPENAI_API_KEY is used by Autogen's OpenAI client
USER_ID is how Composio identifies which user's Clockify connections to use

Import dependencies and create Tool Router session

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Clockify session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["clockify"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes Clockify tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python

# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

url points to the Tool Router MCP endpoint from Composio
timeout is the HTTP timeout for requests
sse_read_timeout controls how long to wait when streaming responses
terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python

# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Clockify assistant agent with MCP tools
    agent = AssistantAgent(
        name="clockify_assistant",
        description="An AI assistant that helps with Clockify operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the Clockify tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Clockify related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which Clockify tools to call via MCP
agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
Typing exit, quit, or bye ends the loop

Complete Code

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

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Clockify session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["clockify"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Clockify assistant agent with MCP tools
        agent = AssistantAgent(
            name="clockify_assistant",
            description="An AI assistant that helps with Clockify operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Clockify related question or task to the agent.\n")

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

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

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Clockify through Composio's Tool Router and MCP. From here you can:

Add more toolkits to the toolkits list, for example notion or hubspot
Refine the agent description to point it at specific workflows
Wrap this script behind a UI, Slack bot, or internal tool

Once the pattern is clear for Clockify, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Clockify MCP Agent with another framework

OpenAI Agents SDK

Use Clockify MCP with OpenAI Agents SDK

Claude Agent SDK

Use Clockify MCP with Claude Agent SDK

Claude Code

Use Clockify MCP with Claude Code

Claude Cowork

Use Clockify MCP with Claude Cowork

Codex

Use Clockify MCP with Codex

OpenClaw

Use Clockify MCP with OpenClaw

Hermes

Use Clockify MCP with Hermes

CLI

Use Clockify MCP with CLI

Google ADK

Use Clockify MCP with Google ADK

LangChain

Use Clockify MCP with LangChain

Vercel AI SDK

Use Clockify MCP with Vercel AI SDK

Mastra AI

Use Clockify MCP with Mastra AI

LlamaIndex

Use Clockify MCP with LlamaIndex

CrewAI

Use Clockify MCP with CrewAI

Explore Other Toolkits

Google Sheets

Oauth2

Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.

Notion

Oauth2Api Key

Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.

Airtable

Oauth2Api Key

Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.

TOOLKIT MARKETPLACE

FAQ

What are the differences in Tool Router MCP and Clockify MCP?

With a standalone Clockify MCP server, the agents and LLMs can only access a fixed set of Clockify tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Clockify and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Clockify tools.

Can I manage the permissions and scopes for Clockify while using Tool Router?

Yes, absolutely. You can configure which Clockify scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Clockify data and credentials are handled as safely as possible.

Used by agents from

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for free Get a demo↗

Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

We chose Composio over Pipedream because it delivered depth where it mattered. It supported niche tools and tricky edge cases that other platforms simply ignored. Giving us confidence to scale without compromising.

Ryan YuFounder, Extra Thursday

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down in the complexities of managing agent auth would have been a death sentence for Extra Thursday.

Tomisin JenrolaFounder & CEO, SwarmZero

Before partnering with Composio, adding tool integrations was a slow, resource-intensive process. Each integration could take weeks or months of engineering time, and maintaining them meant constantly keeping up with API changes.

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

How to integrate Clockify MCP with Autogen

Table of Contents

Connect Clockify without Auth hassles

Introduction

Also integrate Clockify with

TL;DR

What is AutoGen?

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

Supported Tools & Triggers

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

How to build Clockify MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Google Sheets

Notion

Airtable

FAQ

What are the differences in Tool Router MCP and Clockify MCP?

Can I use Tool Router MCP with Autogen?

Can I manage the permissions and scopes for Clockify while using Tool Router?

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability