How to integrate Timely MCP with CrewAI

This guide walks you through connecting Timely to CrewAI using the Composio tool router. By the end, you'll have a working Timely agent that can get your timely account billing details, set up webhook for new time entries, retrieve account info for client project through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Timely account through Composio's Timely MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Timely is an automatic time-tracking platform that seamlessly records work across apps, calendars, and devices. It helps you create detailed timesheets and gain productivity insights without manual input.

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Introduction

This guide walks you through connecting Timely to CrewAI using the Composio tool router. By the end, you'll have a working Timely agent that can get your timely account billing details, set up webhook for new time entries, retrieve account info for client project through natural language commands.

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

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

Also integrate Timely with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

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

What is CrewAI?

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

Key features include:

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

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

The Timely MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Timely account. It provides structured and secure access to your time-tracking data, so your agent can perform actions like retrieving account information, managing webhooks, and integrating time logs with other workflows on your behalf.

  • Account information retrieval: Instantly fetch up-to-date details about your Timely account, including billing, activity, and user info, for streamlined reporting or troubleshooting.
  • Automated webhook setup: Direct your agent to create new webhooks for your account, enabling real-time integration with external apps and automated event notifications.
  • Seamless workflow automation: Connect Timely events to other services or agents by configuring webhooks, so you can automate time-tracking updates or project triggers.
  • Centralized time management: Allow your agent to coordinate between Timely and your other productivity tools by securely accessing and sharing account data as needed.

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

What is Composio SDK?

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

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

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

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

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

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

Getting API Keys for OpenAI and Composio

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

Install dependencies

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

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

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

Import dependencies

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

dotenv.load_dotenv()

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

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

Create a Composio Tool Router session for Timely

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

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

Initialize the MCP Server

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

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

Create a CLI Chatloop and define the Crew

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

conversation_context = ""

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

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

    if not user_input:
        continue

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

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

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

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

Complete Code

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

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

load_dotenv()

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

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

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

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

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

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

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

    conversation_context = ""

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

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

        if not user_input:
            continue

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

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

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

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

Conclusion

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

Next steps:

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

Supported Tools

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

Create Client

Tool to create a new client in the specified Timely account.

Create Day Locking

Tool to create a day locking entry that prevents editing of time entries for specific dates and users.

Create Label

Tool to create a new label in the specified Timely account.

Create report

Tool to generate reports for a Timely account with optional filters.

Create Team

Tool to create a new team in the specified Timely account.

Create Webhook

Tool to create a new webhook for the specified account.

Delete a label

Tool to delete a label by ID from a Timely account.

Delete a team

Tool to delete a team by its ID.

Delete Webhook

Tool to delete an existing webhook by its ID.

Filter reports

Tool to filter Timely reports based on date range, users, projects, labels, teams, and billing status.

Get activities

Tool to retrieve all activities (audit trail) for a Timely account.

Get Client

Tool to retrieve details of a specific client by its ID.

Get current user's permissions

Tool to retrieve the current user's permissions for a specified account.

Get current user

Tool to retrieve the currently authenticated user.

Retrieve a label

Tool to retrieve a label by ID from a Timely account.

Get project

Tool to retrieve a single project by its ID.

Retrieve a team

Tool to retrieve details of a specific team by its ID.

Retrieve a user

Tool to retrieve a user by ID from a Timely account.

Get user capacities

Tool to retrieve capacity information for a specific user in a Timely account.

Get user permissions

Tool to retrieve a user's permissions by their ID.

Get Webhook

Tool to retrieve a specific webhook by its ID.

List accounts

Retrieve all accessible Timely accounts for the authenticated user.

List clients

Tool to list all clients in a Timely account with optional filtering and sorting.

List events

Tool to list all events (time entries) in a Timely account with optional filtering by date range, users, and projects.

List forecasts

Tool to list all forecasts (tasks) in a Timely account with optional date filtering.

List labels

Tool to list all labels in a Timely account.

List project events

Tool to list all events (time entries) for a specific project in Timely.

List projects

Tool to list all projects in a Timely account with optional filtering and sorting.

List roles

Tool to list all available roles in a Timely account.

List teams

Tool to list all teams in the specified Timely account.

List user events

Tool to list all events (time entries) for a specific user in Timely.

List users

Tool to list all users in a Timely account with optional filtering and pagination.

List Webhooks

Tool to list all webhooks in the specified account.

Process bulk events

Tool to create, update, or delete multiple events in a single bulk operation.

Retrieve an account

Tool to retrieve details of a specific account by its ID.

Update a client

Tool to update an existing client by ID in Timely.

Update day locking settings

Tool to update day locking settings for specified users and dates.

Update a label

Tool to update a label by ID in a Timely account.

Update a project

Tool to update a project by ID in a Timely account.

Update a user

Tool to update a user by ID in a Timely account.

Update Webhook

Tool to update an existing webhook by ID.

FRAMEWORKS

How to build Timely MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Timely MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Timely MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Timely MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Timely MCP with Claude Cowork

Codex logo

Codex

Use Timely MCP with Codex

OpenClaw logo

OpenClaw

Use Timely MCP with OpenClaw

Hermes logo

Hermes

Use Timely MCP with Hermes

CLI logo

CLI

Use Timely MCP with CLI

Google ADK logo

Google ADK

Use Timely MCP with Google ADK

LangChain logo

LangChain

Use Timely MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Timely MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Timely MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Timely MCP with LlamaIndex

FAQ

Frequently asked questions

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

Yes, you can. CrewAI 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 Timely tools.

Yes, absolutely. You can configure which Timely 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 Timely data and credentials are handled as safely as possible.

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