# How to integrate Clockify MCP with Autogen

```json
{
  "title": "How to integrate Clockify MCP with Autogen",
  "toolkit": "Clockify",
  "toolkit_slug": "clockify",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/clockify/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/clockify/framework/autogen.md",
  "updated_at": "2026-05-12T10:06:31.997Z"
}
```

## 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](https://composio.dev/toolkits/clockify/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/clockify/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/clockify/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/clockify/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/clockify/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/clockify/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/clockify/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/clockify/framework/cli)
- [Google ADK](https://composio.dev/toolkits/clockify/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/clockify/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/clockify/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/clockify/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/clockify/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/clockify/framework/crew-ai)

## 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

| Tool slug | Name | Description |
|---|---|---|
| `CLOCKIFY_ADD_USER_TO_GROUP` | Add User to Group | Tool to add a user to a user group in a Clockify workspace. Use when you need to add a specific user to an existing group. |
| `CLOCKIFY_CREATE_CLIENT` | Create Client | Tool to add a new client to a workspace. Use when you need to create a client in a specific workspace. |
| `CLOCKIFY_CREATE_NEW_PROJECT` | Create New Project | Tool to create a new project in a Clockify workspace. Use when you need to create a project with name, color, billable status, visibility, and optional client association. |
| `CLOCKIFY_CREATE_SHARED_REPORT` | Create Shared Report | Tool to create a shared report in Clockify. Use when generating shareable summary, detailed, or weekly reports with custom date ranges and grouping options. |
| `CLOCKIFY_CREATE_TASK` | Create Task | Tool to add a new task to a project in Clockify. Use when you need to create a task with optional time estimates, assignees, and billable status. |
| `CLOCKIFY_CREATE_TEMPLATES_ON_WORKSPACE` | Create Templates On Workspace | Tool to create templates on a Clockify workspace. Use when you need to create one or more templates with associated projects and tasks for reusable project structures. |
| `CLOCKIFY_CREATE_TIME_ENTRY` | Create Time Entry | Tool to create a new time entry in a Clockify workspace. Use when logging time with start/end timestamps, project/task/tag associations, and billable status. |
| `CLOCKIFY_CREATE_USER_GROUP` | Create User Group | Tool to create a new user group in a workspace. Use when you need to add a group to organize users within a specific workspace. |
| `CLOCKIFY_CREATE_USER_TIME_ENTRY` | Create User Time Entry | Tool to create a time entry for another user in a Clockify workspace. Use when adding time logs on behalf of team members with admin/manager permissions. |
| `CLOCKIFY_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook in a workspace. Use when you want to subscribe to workspace events by registering a callback URL. |
| `CLOCKIFY_CREATE_WORKSPACE` | Create Workspace | Tool to create a new workspace in Clockify. Use when you need to set up a new workspace for time tracking and project management. |
| `CLOCKIFY_DELETE_CLIENT` | Delete Client | Permanently deletes a client from a Clockify workspace. Returns the deleted client's data. Warning: This action is irreversible. Ensure the client has no associated projects or time entries. |
| `CLOCKIFY_DELETE_PROJECT` | Delete Project | Tool to delete a project from a workspace. Use when you need to permanently remove a project. Warning: This action is irreversible and may affect associated time entries and tasks. |
| `CLOCKIFY_DELETE_SHARED_REPORT` | Delete Shared Report | Tool to delete a shared report from a workspace by ID. Use when you need to remove a shared report that is no longer needed. |
| `CLOCKIFY_DELETE_TAG` | Delete Tag | Tool to delete a tag from a Clockify workspace. Use when you need to remove an existing tag by its ID. |
| `CLOCKIFY_DELETE_TASK` | Delete Task | Tool to delete a task from a project in Clockify. Use when removing tasks that are no longer needed or were created by mistake. |
| `CLOCKIFY_DELETE_TEMPLATE` | Delete Template | Tool to delete a template from a Clockify workspace. Returns the deleted template's data including entries, projects, and tasks. |
| `CLOCKIFY_DELETE_TIME_ENTRY` | Delete Time Entry | Tool to delete a time entry from a workspace by ID. Use for cleanup workflows such as removing bad imports, duplicates, or cancelled entries. |
| `CLOCKIFY_DELETE_USER_GROUP` | Delete User Group | Tool to delete a user group from a workspace. Use when you need to remove an existing user group by its ID. |
| `CLOCKIFY_DELETE_USER_TIME_ENTRIES` | Delete User Time Entries | Tool to delete multiple time entries for a user in a workspace. Use for bulk cleanup such as removing test data, correcting erroneous imports, or batch deleting cancelled work periods. |
| `CLOCKIFY_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook from a workspace. Use when you need to remove an existing webhook by its ID. |
| `CLOCKIFY_DUPLICATE_TIME_ENTRY` | Duplicate Time Entry | Tool to duplicate an existing time entry in a Clockify workspace. Use when creating a copy of a time entry with the same attributes (project, task, tags, description, billable status). |
| `CLOCKIFY_FILTER_WORKSPACE_USERS` | Filter Workspace Users | Tool to filter users in a workspace by advanced criteria. Use when you need a paginated, sortable list of workspace users matching multiple filters. |
| `CLOCKIFY_FIND_USER_TEAM_MANAGER` | Find User's Team Managers | Retrieves the list of team managers assigned to a specific user in a Clockify workspace. Team managers are users who have supervisory responsibilities over other users. Use this after obtaining valid workspace and user IDs from other actions. |
| `CLOCKIFY_GENERATE_DETAILED_REPORT` | Generate Detailed Report | Tool to generate a detailed time entry report with filtering and pagination. Use when you need comprehensive time tracking data with project, client, user, and tag breakdowns for reporting or analysis. |
| `CLOCKIFY_GENERATE_EXPENSE_REPORT` | Generate Expense Report | Tool to generate a detailed expense report for a Clockify workspace. Use when you need to retrieve and analyze expense data within a specific date range for reporting, invoicing, or financial analysis. |
| `CLOCKIFY_GENERATE_NEW_WEBHOOK_TOKEN` | Generate New Webhook Token | Tool to generate a new webhook token. Use after confirming workspace and webhook IDs. |
| `CLOCKIFY_GENERATE_SUMMARY_REPORT` | Generate Summary Report | Tool to generate a summary report for time entries in a Clockify workspace. Use when you need aggregated time tracking data grouped by projects, users, clients, or other criteria for high-level analysis and reporting. |
| `CLOCKIFY_GENERATE_WEEKLY_REPORT` | Generate Weekly Report | Tool to generate a weekly time entry report for a workspace with grouped data. Use when you need detailed weekly breakdowns of time entries organized by user, project, task, or other dimensions. |
| `CLOCKIFY_GET_ALL_ADDON_WEBHOOKS` | Get All Addon Webhooks | Tool to list all webhooks for an addon in a workspace. Use after confirming workspace and addon IDs. |
| `CLOCKIFY_GET_ALL_MY_WORKSPACES` | Get All My Workspaces | Tool to list all workspaces the user belongs to. Use when you need an overview of accessible workspaces after authentication. Verify the correct workspace ID from the returned list before using it in subsequent operations — wrong workspace IDs misroute all entries. Each workspace object may include settings such as forceTasks; when enabled, time entry creation requires a valid taskId or returns HTTP 400 (code 501). |
| `CLOCKIFY_GET_ALL_WEBHOOKS` | Get All Webhooks | Tool to list all webhooks in a workspace. Use when you need to retrieve defined webhooks after confirming the workspace ID. |
| `CLOCKIFY_GET_CLIENT_BY_ID` | Get Client By ID | Retrieves detailed information about a specific client in a Clockify workspace. Returns client details including name, contact information (email, address), billing currency, and archived status. Use 'Get All My Workspaces' to obtain workspace_id and 'Get Clients' to obtain client_id before calling this action. |
| `CLOCKIFY_GET_CLIENTS` | Get Clients | Tool to list clients in a workspace. Use after obtaining a workspace ID. |
| `CLOCKIFY_GET_CREATED_ENTITIES` | Get Created Entities | Tool to retrieve created entities within a workspace (Experimental). Use when you need to track incremental changes or newly created time entries, projects, clients, or other entity types. |
| `CLOCKIFY_GET_CURRENTLY_LOGGED_IN_USER_INFO` | Get Currently Logged In User Info | Tool to retrieve info about the authenticated user. Use when verifying credentials and needing current user context after authentication. |
| `CLOCKIFY_GET_DELETED_ENTITIES` | Get Deleted Entities | Tool to retrieve information about entities deleted within a date range (Experimental API). Use when you need to track incremental changes or identify deleted records for synchronization purposes. |
| `CLOCKIFY_GET_HOLIDAYS` | Get Holidays | Tool to retrieve all holidays for a workspace. Use when you need to list or filter workspace holidays after confirming the workspace ID. |
| `CLOCKIFY_GET_HOLIDAYS_IN_PERIOD` | Get Holidays In Period | Tool to retrieve holidays in a specific period. Use when you need holidays assigned to a user between two dates after confirming the workspace ID. |
| `CLOCKIFY_GET_IN_PROGRESS_TIME_ENTRIES` | Get In Progress Time Entries | Tool to retrieve all currently running time entries in a workspace. Use when you need to check which timers are active or see who is currently tracking time. |
| `CLOCKIFY_GET_MEMBER_PROFILE` | Get member's profile | Tool to get a member's profile in a workspace. Use when you need detailed profile info after identifying the workspace and user. |
| `CLOCKIFY_GET_PROJECT` | Get Project | Tool to retrieve detailed information about a specific project by ID. Use when you need to get project details such as name, billable status, budget estimates, rates, and memberships. |
| `CLOCKIFY_GET_PROJECTS` | Get Projects | Tool to list projects in a workspace with filtering and pagination. Use after obtaining a workspace ID. |
| `CLOCKIFY_GET_SHARED_REPORT` | Get Shared Report | Tool to retrieve a shared report by ID from Clockify. Returns report data including totals, charts, groupings, and filter configuration. Use when you need to access and analyze shared report data. Note: This endpoint uses the Reports API domain (reports.api.clockify.me). |
| `CLOCKIFY_GET_SHARED_REPORTS` | Get Shared Reports | Tool to retrieve all shared reports in a workspace. Use when you need to view reports that have been shared within the workspace. |
| `CLOCKIFY_GET_TAG` | Get Tag By ID | Tool to retrieve detailed information about a specific tag by ID in a Clockify workspace. Use when you need to get tag details including name, workspace ID, and archived status. |
| `CLOCKIFY_GET_TAGS` | Get Tags | Tool to find and list tags in a workspace. Use when you need to view all tags or filter tags by name or archived status. |
| `CLOCKIFY_GET_TASK` | Get Task | Retrieves detailed information about a specific task in a Clockify project. Returns task details including name, assignees, estimates, billable status, and rates. Use this to inspect or verify task information within a project. |
| `CLOCKIFY_GET_TASKS` | Get Tasks | Tool to find all tasks on a specific project in a workspace. Use when you need to list, search, or filter tasks for project management. |
| `CLOCKIFY_GET_TEMPLATES_ON_WORKSPACE` | Get Templates On Workspace | Tool to list all templates in a workspace. Use when you need to retrieve available templates for creating projects or time entries. |
| `CLOCKIFY_GET_TIME_ENTRIES` | Get Time Entries | Tool to retrieve historical time entries for a user in a workspace with filters. Use when you need to audit, summarize, or analyze time logs for reporting or invoicing. |
| `CLOCKIFY_GET_TIME_ENTRY` | Get Time Entry | Tool to retrieve a specific time entry by ID from a workspace. Use when you need to inspect details of a particular time entry for auditing, reporting, or further processing. |
| `CLOCKIFY_GET_UPDATED_ENTITIES` | Get Updated Entities | Tool to retrieve entities that have been updated in a workspace (Experimental). Use when tracking incremental changes to time entries, expenses, custom fields, or other entity types for synchronization or audit purposes. |
| `CLOCKIFY_GET_USER_GROUPS` | Get User Groups | Tool to find all user groups in a workspace. Use when you need to retrieve all groups that organize users within a specific workspace. |
| `CLOCKIFY_GET_WEBHOOK_BY_ID` | Get Webhook By ID | Retrieves detailed information about a specific webhook in a Clockify workspace. Returns the webhook's name, URL, event type, trigger source configuration, auth token, and enabled status. Use this to inspect or verify webhook settings. |
| `CLOCKIFY_GET_WEBHOOK_LOGS` | Get Webhook Logs | Tool to retrieve webhook logs for a specific webhook. Use when you need to inspect webhook delivery history, debug failed webhook calls, or monitor webhook activity. |
| `CLOCKIFY_GET_WORKSPACE_INFO` | Get Workspace Info | Retrieves detailed information about a specific Clockify workspace. Use this tool to get workspace configuration, settings, memberships, and features. Requires a workspace ID which can be obtained from 'Get All My Workspaces' action. Returns workspace details including: - Name and ID - Cost rates and hourly rates - Subscription type and enabled features - Membership information - Workspace settings (time tracking mode, permissions, etc.) |
| `CLOCKIFY_LIST_ASSIGNMENTS` | List Assignments | Tool to retrieve all scheduling assignments in a workspace. Use when you need to view team member assignments to projects within a specific date range. |
| `CLOCKIFY_REMOVE_USER_FROM_GROUP` | Remove User From Group | Tool to remove a user from a group in Clockify. Returns the updated user group details after removal. |
| `CLOCKIFY_STOP_USER_TIMER` | Stop User Timer | Tool to stop a currently running timer for a user in a workspace. Use when ending an active time tracking session by providing the end timestamp. |
| `CLOCKIFY_UPDATE_CLIENT` | Update Client | Tool to update an existing client in a Clockify workspace. Use when you need to modify client details such as name, email, address, or archived status. |
| `CLOCKIFY_UPDATE_PROJECT` | Update Project | Tool to update an existing project in a Clockify workspace. Use when modifying project details like name, color, billable status, or client associations. |
| `CLOCKIFY_UPDATE_PROJECT_MEMBERSHIPS` | Update Project Memberships | Tool to update project memberships in Clockify. Use when you need to add users to a project or modify their rates. |
| `CLOCKIFY_UPDATE_PROJECT_USER_HOURLY_RATE` | Update Project User Hourly Rate | Tool to update a project user's billable rate. Use when you need to set or change the hourly rate for a specific user on a project. |
| `CLOCKIFY_UPDATE_SHARED_REPORT` | Update Shared Report | Tool to update an existing shared report in Clockify. Use when modifying report name, visibility, date settings, or filter configuration. |
| `CLOCKIFY_UPDATE_TAG` | Update Tag | Tool to update a tag in a Clockify workspace. Use when you need to rename a tag or archive/unarchive it. |
| `CLOCKIFY_UPDATE_TASK` | Update Task | Tool to update an existing task on a project in Clockify. Use when modifying task details like name, assignees, status, estimates, or billing settings. |
| `CLOCKIFY_UPDATE_TIME_ENTRIES` | Update Time Entries | Tool to bulk update multiple time entries in a Clockify workspace. Use when modifying multiple time logs simultaneously with start/end times, descriptions, billable status, or project/task associations. |
| `CLOCKIFY_UPDATE_TIME_ENTRY` | Update Time Entry | Tool to update an existing time entry in a Clockify workspace. Use when modifying time logs including start/end times, description, billable status, or project/task associations. |
| `CLOCKIFY_UPDATE_USER_GROUP` | Update User Group | Tool to update an existing user group in a workspace. Use when you need to modify the name of a user group. |
| `CLOCKIFY_UPDATE_USER_HOURLY_RATE` | Update User Hourly Rate | Tool to update a user's hourly rate in a Clockify workspace. Use when you need to set or change the billable hourly rate for a specific user. |
| `CLOCKIFY_UPDATE_WEBHOOK` | Update Webhook | Tool to update a webhook in a workspace. Use when you need to modify an existing webhook's configuration such as its name, URL, event type, or trigger sources. |
| `CLOCKIFY_UPDATE_WORKSPACE_HOURLY_RATE` | Update Workspace Hourly Rate | Tool to update the workspace billable hourly rate. Use when you need to set or modify the default hourly billing rate for a workspace. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Clockify MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Clockify. Instead of manually wiring Clockify APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

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

### 3. Set up environment variables

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

### 4. Import dependencies and create Tool Router session

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
```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
```

### 5. Configure MCP parameters for Autogen

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
```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")}
)
```

### 6. Create the model client and agent

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
```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
    )
```

### 7. Run the interactive chat loop

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
```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")
```

## Complete Code

```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](https://composio.dev/toolkits/clockify/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/clockify/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/clockify/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/clockify/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/clockify/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/clockify/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/clockify/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/clockify/framework/cli)
- [Google ADK](https://composio.dev/toolkits/clockify/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/clockify/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/clockify/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/clockify/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/clockify/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/clockify/framework/crew-ai)

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - 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](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - 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.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions.
- [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.
- [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page.
- [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes.
- [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights.
- [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.

## Frequently Asked Questions

### 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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)