# How to integrate Bamboohr MCP with CrewAI

```json
{
  "title": "How to integrate Bamboohr MCP with CrewAI",
  "toolkit": "Bamboohr",
  "toolkit_slug": "bamboohr",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/bamboohr/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/bamboohr/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:02:22.574Z"
}
```

## Introduction

This guide walks you through connecting Bamboohr to CrewAI using the Composio tool router. By the end, you'll have a working Bamboohr agent that can add new dependent for employee john doe, update direct deposit details for sarah smith, log overtime hours for marketing team members through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Bamboohr account through Composio's Bamboohr MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Bamboohr with

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

## TL;DR

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

The BambooHR MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your BambooHR account. It provides structured and secure access to your HR data, so your agent can perform actions like managing employee benefits, updating payroll records, tracking time, and assisting with applicant management on your behalf.
- Employee benefits administration: Automatically enroll employees in benefit groups, create or update benefit records, and manage company-wide benefit offerings with ease.
- Payroll and direct deposit management: Enable your agent to create paystubs, add unpaid pay periods, and update employee direct deposit information for seamless payroll processing.
- Dependent and tax record updates: Empower your agent to add employee dependents and modify withholding details, keeping employee records accurate and compliant.
- Time tracking automation: Let your agent log new time tracking records for employees, ensuring precise attendance and overtime data for reporting and payroll.
- Applicant and recruitment collaboration: Allow your agent to post comments on applicant records, streamlining feedback and communication during the hiring process.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BAMBOOHR_ATS_CREATE_CANDIDATE` | Create Candidate Application | Tool to create a candidate application. Use when adding a new applicant to a specific job opening in BambooHR ATS. |
| `BAMBOOHR_ATS_CREATE_JOB_OPENING` | Create Job Opening | Tool to create a new job opening in BambooHR ATS. Use when you need to open a new job for applicants. |
| `BAMBOOHR_ATS_GET_APPLICATIONS` | List Job Applications | Tool to list job applications with optional filters. Use when retrieving ATS applications for reporting or integration. |
| `BAMBOOHR_BENEFIT_GET_COVERAGES` | Get Benefit Coverages | Tool to retrieve standard benefit coverage options. Use when you need to fetch all or specific coverages before configuring benefit plans. |
| `BAMBOOHR_BENEFIT_GET_MEMBER_EVENTS` | Get Member Benefit Events | Tool to list member benefit events. Use when you need to fetch all benefit events visible to the authenticated user. |
| `BAMBOOHR_COMPANY_GET_EINS` | Get Company EINs | Tool to retrieve company Employer Identification Numbers (EINs). Use when you need to fetch your account's EINs after authenticating. |
| `BAMBOOHR_COMPANY_GET_INFORMATION` | Get Company Information | Tool to retrieve company information. Use when you need details about the current account's settings. |
| `BAMBOOHR_CREATE_FILE_CATEGORY` | Create File Category | Tool to create new company file categories. Use when organizing company files by adding new categories after confirming desired names. |
| `BAMBOOHR_CREATE_TIME_OFF_REQUEST` | Create Time Off Request | Tool to submit a new time off request. Use after confirming employee ID and valid payload. |
| `BAMBOOHR_DATASETS_LIST` | List Datasets | Tool to list available datasets via the Datasets API. Use when you need to discover available dataset schemas before querying data. |
| `BAMBOOHR_DEPENDENTS_CREATE` | Create Employee Dependent | Tool to add a dependent to an employee. Use when a new dependent needs to be recorded for benefits or HR tracking. Ensure the employee record exists before calling this tool. |
| `BAMBOOHR_DEPENDENTS_GET_ALL` | Get All Employee Dependents | Tool to retrieve all employee dependents. Use after ensuring your API key has access to benefit settings. |
| `BAMBOOHR_EMPLOYEE_CREATE` | Create Employee | Tool to create a new employee record. Use when adding employees via BambooHR API. Returns the new employee's ID. |
| `BAMBOOHR_EMPLOYEE_FILES_CREATE_CATEGORY` | Create Employee File Category | Tool to create new employee file categories. Use when organizing employee files by adding new categories after confirming desired names. |
| `BAMBOOHR_EMPLOYEE_GET_CHANGED` | Get Changed Employees | Tool to get employees inserted, updated, or deleted since a given timestamp. Use when fetching incremental HR changes. |
| `BAMBOOHR_FILES_LIST` | List Company Files | Tool to list company file categories and their files. Use when you need to retrieve all company files organized by category after confirming file inventory exists. |
| `BAMBOOHR_FILES_UPLOAD` | Upload Company File | Tool to upload a new company file. Use when you need to add a file to BambooHR after confirming its category and share settings. |
| `BAMBOOHR_GET_ALL_EMPLOYEES` | Get All Employees | Retrieves all employees from the BambooHR employee directory including their basic information and status. |
| `BAMBOOHR_GET_APPLICANT_STATUSES` | Get Applicant Statuses | Tool to retrieve applicant statuses. Use when you need to list ATS statuses for your company; requires ATS settings access. |
| `BAMBOOHR_GET_CUSTOM_EMPLOYEE_FIELDS` | Get Custom Employee Fields | Tool to fetch custom employee field values. Use when you need to retrieve only custom fields for all employees. |
| `BAMBOOHR_GET_CUSTOM_REPORTS` | Run Custom Report | Tool to run a custom report by ID or ad-hoc fields. Use when you need to execute a saved report or generate an ad-hoc report and retrieve its results in JSON or file format. |
| `BAMBOOHR_GET_EMPLOYEE` | Get Employee | Tool to retrieve detailed information for a specific employee. Use when you need individual employee data by ID. |
| `BAMBOOHR_GET_EMPLOYEE_PHOTO` | Get Employee Photo | Tool to retrieve an employee's profile photo by size. Use when you need to download the image binary for the specified employee after confirming their ID. |
| `BAMBOOHR_GET_HIRING_LEADS` | Get Hiring Leads | Tool to retrieve potential hiring leads (employees who can manage job openings) for use in creating a new job opening. The API key owner must have access to ATS settings. |
| `BAMBOOHR_GET_JOB_SUMMARIES` | Get Job Summaries | Tool to retrieve a list of ATS job summaries. Use when you need an overview of all job postings and their key details. |
| `BAMBOOHR_GET_META_DEPARTMENTS` | Get Departments Metadata | Tool to list department metadata. Use after needing all available department codes and names. |
| `BAMBOOHR_GET_META_DIVISIONS` | Get Meta Divisions | Tool to list all division metadata. Use after authenticating to fetch the account's divisions. |
| `BAMBOOHR_GET_META_EMPLOYMENT_STATUSES` | List Employment Status Metadata | Tool to list all employment status metadata. Use when you need all defined employment statuses for the company. |
| `BAMBOOHR_GET_META_JOB_TITLES` | Get Meta Job Titles | Tool to retrieve job title metadata. Uses the list-field metadata endpoint and extracts the options for the `jobTitle` field. |
| `BAMBOOHR_GET_META_LOCATIONS` | Get Meta Locations | Tool to list location metadata. Use when you need all configured company locations for lookups. |
| `BAMBOOHR_GET_META_TIME_OFF_TYPES` | Get Time-Off Types Metadata | Tool to list time-off type metadata. Use when you need to discover available time-off types before creating time-off requests. |
| `BAMBOOHR_GET_REPORT` | Get Report | Tool to fetch a built-in or published report in JSON or other formats. Use when you need to retrieve report data or download report files after specifying the report ID and desired output format. |
| `BAMBOOHR_GET_TIME_OFF_BALANCES` | Get Time-Off Balances | Tool to retrieve time-off balances for employees. Use when you need current balances across your team. |
| `BAMBOOHR_GET_TIME_OFF_REQUESTS` | Get Time-Off Requests | Tool to list time-off requests within a date range. Use after confirming start and end dates; supports optional filters for status, employee, and time off type. |
| `BAMBOOHR_LIST_BUILTIN_REPORTS` | List Company Reports | Tool to list all available company and custom reports. Use after confirming account setup. Requires 'report' scope for OAuth or an API key with report access permissions. |
| `BAMBOOHR_META_GET_COUNTRIES` | Get Country Options | Tool to retrieve all available country options. Use when you need a complete list of selectable countries before updating or validating country fields. |
| `BAMBOOHR_META_GET_LIST_FIELD_DETAILS` | Get List Field Details | Tool to get details for all list fields. Use when you need to discover list field options before using them. |
| `BAMBOOHR_META_GET_TABULAR_FIELDS` | Get Tabular Fields Metadata | Tool to list tabular table fields metadata. Use when you need standard table structures before accessing table rows. |
| `BAMBOOHR_META_GET_USERS` | Get Users | Tool to list active users with basic info. Use when you need to retrieve current users' IDs, names, and emails. |
| `BAMBOOHR_UPDATE_EMPLOYEE` | Update Employee | Tool to update fields on a specified employee record. Use when you need to modify employee properties via BambooHR API after confirming the target employee ID. Example: "Update employee 12345's department to Sales". |
| `BAMBOOHR_UPDATE_TIME_OFF_REQUEST` | Update Time Off Request | Tool to update the status of an existing time-off request. Use when you need to approve, deny, or cancel a request after reviewing it. Example: "Approve time-off request 12345". |

## Supported Triggers

None listed.

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

The Bamboohr MCP server is an implementation of the Model Context Protocol that connects your AI agent to Bamboohr. It provides structured and secure access so your agent can perform Bamboohr 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 and API key
- A Bamboohr connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 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

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**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 Bamboohr MCP URL
```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")
```

### 5. Create a Composio Tool Router session for Bamboohr

**What's happening:**
- You create a Bamboohr only session through Composio
- Composio returns an MCP HTTP URL that exposes Bamboohr tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["bamboohr"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**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.
```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,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**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.
```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")
```

## Complete Code

```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=["bamboohr"],
)
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 Bamboohr through Composio's Tool Router. The agent can perform Bamboohr 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

## How to build Bamboohr MCP Agent with another framework

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

## Related Toolkits

- [Ashby](https://composio.dev/toolkits/ashby) - Ashby is an applicant tracking system that handles job postings, candidate management, and hiring analytics.
- [Async interview](https://composio.dev/toolkits/async_interview) - Async interview is an on-demand video interview platform for streamlined hiring. Candidates record responses on their schedule, so employers can review anytime.
- [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.
- [Connecteam](https://composio.dev/toolkits/connecteam) - Connecteam is a workforce management platform for deskless teams, streamlining operations, HR, and team communication. It helps businesses save time by automating scheduling, time tracking, and staff engagement tasks.
- [Lever](https://composio.dev/toolkits/lever) - Lever is an applicant tracking system that blends sourcing, CRM, and analytics for recruiting. It helps companies scale hiring with collaborative workflows and actionable insights.
- [Recruitee](https://composio.dev/toolkits/recruitee) - Recruitee is collaborative hiring software that centralizes recruitment tasks for teams. It streamlines sourcing, interviewing, and hiring so you can fill roles faster.
- [Remote retrieval](https://composio.dev/toolkits/remote_retrieval) - Remote retrieval is a logistics automation tool for managing laptop and monitor returns. It streamlines return tracking, saving time and hassle for IT and ops teams.
- [Sap successfactors](https://composio.dev/toolkits/sap_successfactors) - Sap successfactors is a cloud-based human capital management suite for HR, payroll, recruiting, and talent management. It helps organizations centralize employee data and streamline the entire employee lifecycle.
- [Talenthr](https://composio.dev/toolkits/talenthr) - TalentHR is an intuitive, all-in-one HR tool for managing employee records, leave, and HR workflows. It streamlines HR operations so businesses can focus on people, not paperwork.
- [Workable](https://composio.dev/toolkits/workable) - Workable is an all-in-one HR software platform that streamlines hiring, employee management, and payroll. It helps teams simplify recruiting, onboarding, and staff operations in one place.
- [Workday](https://composio.dev/toolkits/workday) - Workday is a cloud-based ERP platform for HR, finance, and workforce analytics. It streamlines employee management, payroll, and business operations in a single system.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide.
- [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.
- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.
- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [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.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Bamboohr MCP?

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

### Can I use Tool Router MCP with CrewAI?

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 Bamboohr tools.

### Can I manage the permissions and scopes for Bamboohr while using Tool Router?

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

---
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