How to integrate Clockify MCP with Pydantic AI

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.

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

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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 SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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.

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

What is Composio SDK?

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

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

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

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

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

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

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

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
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
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
6

Create a Tool Router Session

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")
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
7

Initialize the Pydantic AI Agent

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."
    ),
)
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
8

Build the chat interface

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()
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
9

Run the application

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

Complete Code

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

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.
TOOLS

Supported Tools

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

Add User to Group

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

Create Client

Tool to add a new client to a workspace.

Create New Project

Tool to create a new project in a Clockify workspace.

Create Shared Report

Tool to create a shared report in Clockify.

Create Task

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

Create Templates On Workspace

Tool to create templates on a Clockify workspace.

Create Time Entry

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

Create User Group

Tool to create a new user group in a workspace.

Create User Time Entry

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

Create Webhook

Tool to create a new webhook in a workspace.

Create Workspace

Tool to create a new workspace in Clockify.

Delete Client

Permanently deletes a client from a Clockify workspace.

Delete Project

Tool to delete a project from a workspace.

Delete Shared Report

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

Delete Tag

Tool to delete a tag from a Clockify workspace.

Delete Task

Tool to delete a task from a project in Clockify.

Delete Template

Tool to delete a template from a Clockify workspace.

Delete Time Entry

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

Delete User Group

Tool to delete a user group from a workspace.

Delete User Time Entries

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

Delete Webhook

Tool to delete a webhook from a workspace.

Duplicate Time Entry

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

Filter Workspace Users

Tool to filter users in a workspace by advanced criteria.

Find User's Team Managers

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

Generate Detailed Report

Tool to generate a detailed time entry report with filtering and pagination.

Generate Expense Report

Tool to generate a detailed expense report for a Clockify workspace.

Generate New Webhook Token

Tool to generate a new webhook token.

Generate Summary Report

Tool to generate a summary report for time entries in a Clockify workspace.

Generate Weekly Report

Tool to generate a weekly time entry report for a workspace with grouped data.

Get All Addon Webhooks

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

Get All My Workspaces

Tool to list all workspaces the user belongs to.

Get All Webhooks

Tool to list all webhooks in a workspace.

Get Client By ID

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

Get Clients

Tool to list clients in a workspace.

Get Created Entities

Tool to retrieve created entities within a workspace (Experimental).

Get Currently Logged In User Info

Tool to retrieve info about the authenticated user.

Get Deleted Entities

Tool to retrieve information about entities deleted within a date range (Experimental API).

Get Holidays

Tool to retrieve all holidays for a workspace.

Get Holidays In Period

Tool to retrieve holidays in a specific period.

Get In Progress Time Entries

Tool to retrieve all currently running time entries in a workspace.

Get member's profile

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

Get Project

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

Get Projects

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

Get Shared Report

Tool to retrieve a shared report by ID from Clockify.

Get Shared Reports

Tool to retrieve all shared reports in a workspace.

Get Tag By ID

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

Get Tags

Tool to find and list tags in a workspace.

Get Task

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

Get Tasks

Tool to find all tasks on a specific project in a workspace.

Get Templates On Workspace

Tool to list all templates in a workspace.

Get Time Entries

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

Get Time Entry

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

Get Updated Entities

Tool to retrieve entities that have been updated in a workspace (Experimental).

Get User Groups

Tool to find all user groups in a workspace.

Get Webhook By ID

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

Get Webhook Logs

Tool to retrieve webhook logs for a specific webhook.

Get Workspace Info

Retrieves detailed information about a specific Clockify workspace.

List Assignments

Tool to retrieve all scheduling assignments in a workspace.

Remove User From Group

Tool to remove a user from a group in Clockify.

Stop User Timer

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

Update Client

Tool to update an existing client in a Clockify workspace.

Update Project

Tool to update an existing project in a Clockify workspace.

Update Project Memberships

Tool to update project memberships in Clockify.

Update Project User Hourly Rate

Tool to update a project user's billable rate.

Update Shared Report

Tool to update an existing shared report in Clockify.

Update Tag

Tool to update a tag in a Clockify workspace.

Update Task

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

Update Time Entries

Tool to bulk update multiple time entries in a Clockify workspace.

Update Time Entry

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

Update User Group

Tool to update an existing user group in a workspace.

Update User Hourly Rate

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

Update Webhook

Tool to update a webhook in a workspace.

Update Workspace Hourly Rate

Tool to update the workspace billable hourly rate.

FRAMEWORKS

How to build Clockify MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Clockify MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Clockify MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Clockify MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Clockify MCP with Claude Cowork

Codex logo

Codex

Use Clockify MCP with Codex

OpenClaw logo

OpenClaw

Use Clockify MCP with OpenClaw

Hermes logo

Hermes

Use Clockify MCP with Hermes

CLI logo

CLI

Use Clockify MCP with CLI

Google ADK logo

Google ADK

Use Clockify MCP with Google ADK

LangChain logo

LangChain

Use Clockify MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Clockify MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Clockify MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Clockify MCP with LlamaIndex

CrewAI logo

CrewAI

Use Clockify MCP with CrewAI

FAQ

Frequently asked questions

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.

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.

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.

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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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's immensely helped keep new users on the platform.

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