# How to integrate Clockify MCP with Pydantic AI

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

## Introduction

This guide walks you through connecting Clockify to Pydantic AI 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 Pydantic AI 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:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for Clockify
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your Clockify workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## 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 agent to Clockify. It provides structured and secure access so your agent can perform Clockify operations on your behalf through a secure, permission-based interface.
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

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 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 the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Clockify
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to Clockify
- MCPServerStreamableHTTP connects to the Clockify MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to Clockify tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Clockify
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["clockify"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the Clockify endpoint
- The agent uses GPT-5 to interpret user commands and perform Clockify operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
clockify_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[clockify_mcp],
    instructions=(
        "You are a Clockify assistant. Use Clockify tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Clockify API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Clockify.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Clockify
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["clockify"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    clockify_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[clockify_mcp],
        instructions=(
            "You are a Clockify assistant. Use Clockify tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Clockify.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

## Conclusion

You've built a Pydantic AI agent that can interact with Clockify through Composio's Tool Router. With this setup, your agent can perform real Clockify actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Clockify for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## 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 Pydantic AI?

Yes, you can. Pydantic AI 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.

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