How to integrate Tave MCP with CrewAI

Framework Integration Gradient
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Introduction

This guide walks you through connecting Tave to CrewAI using the Composio tool router. By the end, you'll have a working Tave agent that can list all open jobs assigned to me, add a new client to tave contacts, update status of a job to 'completed' through natural language commands.

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

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

TL;DR

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

The Tave MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Tave account. It provides structured and secure access so your agent can perform Tave operations on your behalf.

Supported Tools & Triggers

Tools
Apply Payment to OrderTool to apply a payment to a specific order in Tave.
Create BrandTool to create a new brand in VSCO Workspace.
Create Custom FieldTool to create a custom field in Tave for Jobs or Contacts.
Create Discount TypeTool to create a new discount type in Tave.
Create GalleryTool to create a new gallery in Tave (VSCO Workspace).
Create Address Book EntryTool to create an entry in the address book.
Create DiscountTool to create a discount in Tave.
Create EventTool to create a new event in Tave (VSCO Workspace).
Create Event TypeTool to create a new event type in Tave.
Create FileTool to create a file in Tave.
Create JobTool to create a new job in Tave (VSCO Workspace).
Create Job Closed ReasonTool to create a job closed reason in Tave.
Create Job ContactTool to create a job contact in Tave.
Create Job OrderTool to create an order on a job in Tave (VSCO Workspace).
Create Job RoleTool to create a job role in Tave (VSCO Workspace).
Create Job TypeTool to create a new job type in Tave.
Create Job WorksheetTool to create a job using a worksheet in Tave (VSCO Workspace).
Create Lead SourceTool to create a lead source in Tave.
Create Lead StatusTool to create a lead status in Tave.
Create NoteTool to create a note in Tave (VSCO Workspace).
Create PaymentTool to create a payment in Tave.
Create ProductTool to create a product in Tave.
Create Product TypeTool to create a product type in Tave.
Create Profit CenterTool to create a profit center in Tave.
Create RestHook SubscriptionTool to create a RestHook webhook subscription in Tave.
Create Tax RateTool to create a tax rate in Tave.
Create UserTool to create a new user in Tave.
Delete Address Book EntryTool to delete an entry in the address book.
Delete BrandTool to delete a brand by its ULID.
Delete Custom FieldTool to delete a custom field by its ULID identifier.
Delete Event TypeTool to delete an event type by its ULID identifier.
Delete GalleryTool to permanently delete a gallery by its ULID.
Delete DiscountTool to delete a specific discount by its ULID.
Delete Discount TypeTool to delete a specific discount type by its ULID.
Delete EventTool to delete an event by its ULID identifier.
Delete JobTool to delete a job by its ULID identifier.
Delete Job Closed ReasonTool to delete a job closed reason by its ULID identifier.
Delete Job ContactTool to delete a job contact by its ULID.
Delete Job RoleTool to delete a job role by its ULID identifier.
Delete Job TypeTool to delete a job type by its ULID.
Delete Lead SourceTool to delete a specific lead source by its ULID.
Delete Lead StatusTool to delete a specific lead status by its ULID.
Delete NoteTool to delete a note by its ULID identifier.
Delete PaymentTool to delete a specific payment by its ULID.
Delete ProductTool to delete a specific product by its ULID.
Delete Product TypeTool to delete a specific product type by its ULID.
Delete Profit CenterTool to delete a profit center by its ULID.
Delete RestHookTool to unsubscribe from and delete a RestHook webhook subscription by its ULID.
Delete Tax GroupTool to delete a specific tax group by its ULID.
Delete Tax RateTool to delete a specific tax rate by its ULID.
Delete UserTool to delete a user by its ULID.
Get BrandTool to retrieve a specific brand from Tave by its ULID.
Get EventTool to get a specific event by its ID.
Get Event TypeTool to retrieve a specific event type by ID.
Get GalleryTool to retrieve a specific gallery by ID from Tave/VSCO Workspace.
Get Address Book EntityTool to fetch a specific Address Book entity by its ULID.
Get Address Book AddressTool to fetch the address associated with a given location ID.
Get Custom FieldTool to fetch a specific custom field by ID from Tave.
Get DiscountTool to retrieve a specific discount by its ID.
Get Discount TypeTool to get a specific discount type by ID.
Get JobTool to fetch a specific job by ID from Tave.
Get Job Closed ReasonTool to retrieve a specific job closed reason by its ID.
Get Job ContactTool to fetch a specific job contact by ID from Tave.
Get Job RoleTool to retrieve a specific job role by its ID.
Get Job TypeTool to retrieve a specific job type by ID.
Get Job WorksheetTool to fetch a Job Worksheet for a specific job by job ID.
Get Lead SourceTool to retrieve a specific lead source by its ID.
Get Lead StatusTool to retrieve a specific lead status by its ID.
Get My StudioTool to retrieve information about your studio from Tave.
Get NoteTool to fetch a specific note by ID from Tave.
Get OrderTool to fetch a specific order by ID from Tave.
Get PaymentTool to fetch a specific payment by ID from Tave.
Get Payment MethodTool to retrieve a specific payment method by its ID.
Get ProductTool to retrieve a specific product by its ID.
Get Product TypeTool to retrieve a specific product type by its ID.
Get Profit CenterTool to retrieve a specific profit center by its ID.
Get Tax RateTool to retrieve a specific tax rate by its ULID.
Get TimezoneTool to retrieve a specific timezone by its ULID from Tave.
Get User by IDTool to retrieve a specific user by their ULID identifier.
List Address Book ContactsTool to list contacts in the studio's address book.
List BrandsTool to list brands of a studio.
List Discount TypesTool to get a list of discount types from Tave.
List Studio EventsTool to list a studio's events from Tave.
List Event TypesTool to list a studio's event types.
List FilesTool to list files in Tave.
List Resource Custom FieldsTool to list custom fields configured on a studio.
List Resource DiscountTool to get a list of discounts from Tave.
List GalleriesTool to list all galleries for a studio.
List Resource JobTool to list jobs of a studio.
List Job Closed ReasonsTool to list a studio's job closed reasons.
List Resource Job ContactTool to list a job's contacts.
List Resource Job OrdersTool to list orders on a given job.
List Job PaymentsTool to get a list of payments for a specific job.
List Job RolesTool to list a studio's job roles.
List Resource Job TypeTool to list job types of a studio.
List Resource Lead SourceTool to list lead sources of a studio.
List Resource Lead StatusTool to list lead statuses of a studio.
List Resource NoteTool to list notes from Tave.
List Resource OrderTool to get a list of all orders.
List Resource PaymentTool to get a list of payments from Tave.
List Resource Payment MethodTool to get a list of payment methods from Tave.
List Resource ProductTool to get a list of products from Tave.
List Product TypesTool to get a list of product types from Tave.
List Resource Profit CenterTool to list profit centers of a studio.
List REST HooksTool to list REST hooks configured in Tave.
List Resource Tax GroupsTool to get a list of Tax Groups from Tave.
List Resource Tax RatesTool to get a list of tax rates from Tave.
List Resource TimezoneTool to get a list of timezones from Tave.
List Resource UserTool to list users of a studio.
Update Address Book EntryTool to update a specific entry in the Tave address book.
Update BrandTool to update a specific brand in Tave.
Update Event TypeTool to update an existing event type in Tave.
Update Custom FieldTool to update a specific custom field in Tave.
Update EventTool to update a specific event in Tave.
Update GalleryTool to update a specific gallery in Tave (VSCO Workspace).
Update JobTool to update a specific job in Tave (VSCO Workspace).
Update Job Closed ReasonTool to update a job closed reason in Tave.
Update Job ContactTool to update a specific job contact in Tave.
Update Job RoleTool to update a job role in Tave.
Update Job TypeTool to update an existing job type in Tave.
Update Lead SourceTool to update a specific lead source in Tave.
Update Lead StatusTool to update a specific lead status in Tave.
Update NoteTool to update a specific note in Tave.
Update OrderTool to update a specific order in Tave (VSCO Workspace).
Update Profit CenterTool to update a specific profit center in Tave.
Update Tax GroupTool to update a specific tax group in Tave.
Update Tax RateTool to update a specific tax rate in Tave.
Update UserTool to update a specific user in Tave.
Update Studio Readonly ModeTool to set studio readonly mode in Tave.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

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

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.

Install dependencies

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

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

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 Tave MCP URL

Create a Composio Tool Router session for Tave

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

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

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.

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 Tave 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=["tave"],
)
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 Tave through Composio's Tool Router. The agent can perform Tave 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 Tave MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Tave MCP?

With a standalone Tave MCP server, the agents and LLMs can only access a fixed set of Tave tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Tave 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 Tave tools.

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

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

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