How to integrate Tave MCP with Autogen

Framework Integration Gradient
Tave Logo
AutoGen Logo
divider

Introduction

This guide walks you through connecting Tave to AutoGen 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 AutoGen 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 and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Tave
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Tave tools
  • Run a live chat loop where you ask the agent to perform Tave operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Tave account you can connect to Composio
  • Some basic familiarity with Autogen and Python async

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 python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Tave via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Tave connections to use

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Tave session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["tave"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Tave tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Tave assistant agent with MCP tools
    agent = AssistantAgent(
        name="tave_assistant",
        description="An AI assistant that helps with Tave operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Tave tools from the workbench

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Tave related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Tave tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Tave and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Tave session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["tave"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Tave assistant agent with MCP tools
        agent = AssistantAgent(
            name="tave_assistant",
            description="An AI assistant that helps with Tave operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Tave related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Tave through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Tave, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

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 Autogen?

Yes, you can. Autogen 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.

Used by agents from

Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.