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How to integrate Everhour MCP with CrewAI

Connect CrewAI to Everhour MCP. List all clients for this workspace, retrieve expense categories for new report, and more using natural language, with authentication handled for you.

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Everhour is a time tracking and expense management platform for teams and individuals. Gain insight into hours, costs, and budgets for smarter planning and resource allocation.

51 Tools

Introduction

This guide walks you through connecting Everhour to CrewAI using the Composio tool router. By the end, you'll have a working Everhour agent that can start timers, clock in and out, manage clients and projects, review timecards and timesheets, and list expenses and invoices through natural language commands.

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

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

Also integrate Everhour with

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TL;DR

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

The Everhour MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Everhour account. It provides structured and secure access to your time tracking, client, and expense data, so your agent can perform actions like listing clients, retrieving expenses, managing projects, and fetching user profiles on your behalf.

  • Comprehensive client management: Ask your agent to list, create, or delete clients to keep your workspace organized and up-to-date.
  • Expense tracking and review: Effortlessly retrieve all expenses or list available expense categories to monitor spending and streamline expense management.
  • Project and section insights: Have your agent fetch detailed information about specific projects or sections using their IDs for better resource planning.
  • Personalized user profile access: Enable your agent to fetch the authenticated user's profile for quick access to account details and preferences.
  • Webhook configuration overview: List all configured webhooks to monitor integrations and automate notifications within your Everhour environment.

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 Everhour 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 Everhour 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 Everhour MCP URL
6

Create a Composio Tool Router session for Everhour

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

url = session.mcp.url
What's happening:
  • You create a Everhour only session through Composio
  • Composio returns an MCP HTTP URL that exposes Everhour 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 Everhour 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=["everhour"],
)
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 Everhour through Composio's Tool Router. The agent can perform Everhour 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 Everhour action and event your agent gets out of the box.

Add Time

Add or upsert tracked time for a task, user, and date.

Create Client

Creates a new client in Everhour for tracking billable work, invoicing, and project organization.

Delete a client

Tool to delete a client.

List Clients

Retrieves all clients in the Everhour workspace.

Clock In User

Tool to clock in a user for time tracking.

Clock Out User

Tool to clock out a user for time tracking.

Create Webhook

Tool to create a new webhook for event notifications in Everhour.

Delete Webhook

Tool to delete a webhook.

Delete a timecard

Delete a user's timecard for a specific date in Everhour.

Delete Time Record

Remove tracked time by record ID while retaining its history trail.

Discard Timesheet Approval

Withdraw the authenticated user's previously submitted timesheet approval request for a week.

List Expenses

List expense records logged by the authenticated user in Everhour.

Get Client by ID

Tool to retrieve a specific client by ID.

Get Current Timer

Get the authenticated Everhour user's current timer state.

Get Project

Tool to retrieve a specific project.

Get Projects Report

Return aggregated Everhour project time and financial metrics.

Get Section

Retrieve details of a specific section by its ID.

Get Task

Retrieve one native or integration-backed Everhour task by ID.

Get Task Time Records

Lists tracked-time records for an Everhour task with date and page filters.

Get Timecard

Tool to retrieve a specific timecard for a user on a date.

Get Authenticated User Profile

Tool to retrieve profile information of the authenticated user.

Get User Time Records

List one Everhour user's tracked-time records.

Get Webhook

Retrieve details of a specific webhook by its ID.

List Expense Categories

Lists all expense categories available in your Everhour account.

List Webhooks

List webhooks created with the Everhour API key, including their target URLs, subscribed events, active status, and timestamps.

List Invoices

Retrieves all invoices from your Everhour workspace.

List projects

Lists Everhour projects accessible to the authenticated user, with optional name, status, platform, and result-limit parameters.

List Project Tasks

List tasks in an Everhour project with optional filters and pagination.

List Project Time Records

List tracked-time records for an Everhour project.

List Sections

Lists all sections within a specific Everhour project.

List Tags

List all tags in the Everhour workspace.

List Team Members

Retrieves team members in the authenticated Everhour workspace, including IDs, names, roles, and statuses.

List Teams

Retrieves information about the authenticated team/workspace in Everhour.

List Team Time Records

List team time records for a date range; without dates, return only today.

List Timecards

Retrieves team timecards, including clock-in/out data and work hours, with optional date filtering.

List User Timecards

Retrieves a specific user's timecards, including clock-in/out data and work hours, with optional date filtering.

List User Timesheets

Tool to retrieve timesheets for a specific user.

Create Project

Tool to create a new project in Everhour.

Delete a project

Permanently deletes an Everhour project by ID, including its tasks and associated time records.

Request Timesheet Approval

Tool to request approval for a timesheet or approve a week (for admins).

Search Tasks

Search accessible Everhour tasks, optionally including closed tasks.

Create Section

Tool to create a new section in a project.

Delete a section

Tool to delete a section.

Create Task

Creates a new task in an Everhour project.

Start Timer

Tool to start a new timer for a task.

Update Client

Tool to update an existing client in Everhour.

Update Expense

Partially update an existing Everhour expense.

Update an existing project

Updates an existing Everhour project's settings by project ID, including its name or notes.

Update Timecard

Update or create a user's timecard for a specific date, setting clock-in, clock-out, or break duration.

Update Time Record

Update an existing tracked-time record by its record ID.

Update Webhook

Update an existing Everhour webhook's subscribed events or project filter.

FRAMEWORKS

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OpenClaw

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Hermes logo

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Atomic Agent logo

Atomic Agent

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Google ADK logo

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LangChain logo

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Vercel AI SDK logo

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Mastra AI logo

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LlamaIndex logo

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Pydantic AI logo

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AutoGen logo

AutoGen

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FAQ

Frequently asked questions

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