How to integrate Dropbox sign MCP with CrewAI

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Introduction

This guide walks you through connecting Dropbox sign to CrewAI using the Composio tool router. By the end, you'll have a working Dropbox sign agent that can send nda for signature to new hire, get status of recent signature requests, download signed contract from last week through natural language commands.

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

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

Also integrate Dropbox sign with

TL;DR

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

The Dropbox sign MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dropbox Sign account. It provides structured and secure access to your e-signature workflows, so your agent can prepare signature requests, manage documents, track signing progress, and automate agreement workflows on your behalf.

  • Automated signature requests: Have your agent create, send, and manage legally binding signature requests to one or multiple recipients, streamlining document approval processes.
  • Template-based document preparation: Let your agent generate documents from templates, pre-fill fields, and quickly send out repeat agreements without manual editing.
  • Status tracking and reminders: Ask your agent to monitor the progress of signature requests, check who has signed, and send automated reminders to outstanding signers as needed.
  • Secure document storage and retrieval: Effortlessly fetch completed, pending, or archived documents, download signed agreements, and keep your workflow organized and compliant.
  • Audit trails and activity logs: Access detailed audit trails and event histories for every document, so you can maintain compliance and always know who did what, and when.

Supported Tools & Triggers

Tools
Invite User to TeamTool to invite a user to your Team.
Add User to TemplateTool to grant a specified account access to a template.
Bulk create embedded signature request with templateTool to create a BulkSendJob for embedded templated signature requests.
Bulk send with templateTool to create a BulkSendJob for templated signature requests.
Cancel Signature RequestCancels an incomplete signature request.
Create Dropbox Sign AccountTool to create a new Dropbox Sign account associated with a specified email address.
Create API AppTool to create a new Dropbox Sign API App.
Create Embedded Signature RequestTool to create an embedded signature request for signing in an iFrame.
Create Embedded Signature Request With TemplateTool to create an embedded signature request based on a template.
Create Embedded Template DraftTool to create an embedded template draft.
Create Embedded Unclaimed Draft with TemplateTool to create an embedded unclaimed draft using saved templates.
Create ReportRequest creation of CSV report(s) for a specified date range.
Create TemplateTool to create a reusable template for document signing workflows.
Create Unclaimed DraftTool to create an unclaimed draft that can be claimed via a unique URL.
Delete API AppTool to delete an API App from your Dropbox Sign account by its client_id.
Delete FaxTool to delete a fax from the system by its fax_id.
Delete TemplatePermanently deletes a template from your Dropbox Sign account by its template_id.
Download Signature Request FilesDownload files for a signature request as PDF (merged) or ZIP (individual documents).
Edit and Resend Embedded Signature RequestTool to edit and resend an embedded signature request.
Edit and Resend Signature RequestEdits and resends an existing non-templated signature request with updated documents, signers, or settings.
Edit and Resend Unclaimed DraftTool to edit and resend a previously created unclaimed draft.
Edit and Resend Embedded Signature Request With TemplateTool to edit and resend an embedded signature request using templates.
Get Dropbox Sign AccountRetrieves detailed information about a Dropbox Sign account including quotas, payment status, and settings.
Get API AppTool to retrieve information about an API App by its client ID.
Get Bulk Send JobTool to retrieve the status of a bulk send job.
Get Current Team MembershipTool to get the current team membership status and details.
Get Embedded Sign URLRetrieves an embedded signing URL for a specific signer's signature.
Get Embedded Template Edit URLTool to generate an edit URL for embedded template editing.
Get Available Fax Line Area CodesTool to retrieve available fax line area codes for a given country, state/province, and city.
Get Signature RequestRetrieves the current status and complete details of a signature request by ID.
Get Signature Request Files as Data URITool to download signature request files as a base64-encoded data URI.
Get Signature Request Files as File URLRetrieves a copy of the current documents and returns a JSON object with a URL to the file (PDFs only).
Get Team InfoRetrieves information about a Dropbox Sign team, including team name, member count, and sub-team count.
Get TemplateTool to return the specified template.
Download Template FilesTool to download documents associated with a template.
Get Template Files as Data URITool to retrieve template documents as base64-encoded data URI.
Get Template Files as File URLTool to retrieve a copy of template documents and return a JSON object with a URL to the file (PDFs only).
List API AppsTool to list API Apps.
List Bulk Send JobsTool to list bulk send jobs.
List FaxesTool to list faxes and their properties.
List Fax LinesTool to list fax lines and their properties.
List Signature RequestsTool to list signature requests.
List Sub-TeamsLists all sub-teams belonging to a parent team with pagination support.
List Team MembersLists all members and their roles for a specific team.
List All TeamsLists all Dropbox Sign teams accessible to the authenticated user, including the current team and its sub-teams.
List TemplatesTool to list templates.
Generate OAuth Authorization URLTool to generate an OAuth authorization URL.
Release Signature Request HoldRelease a held signature request to send it to signers.
Remove User from TemplateTool to remove an account's access to a template.
Send Signature RequestTool to create and send a new signature request with documents.
Send Request ReminderSends an email reminder to a signer about a pending signature request.
Update Dropbox Sign AccountTool to update Dropbox Sign account properties and settings.
Update API AppTool to update an existing API App in Dropbox Sign.
Update Signature RequestUpdates the email address and/or name for a specific signer on a signature request.
Update Template FilesTool to update files for an existing template.
Verify Dropbox Sign AccountTool to verify whether a Dropbox Sign account exists for the given email.

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

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Dropbox sign 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 Dropbox sign 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 Dropbox sign MCP URL

Create a Composio Tool Router session for Dropbox sign

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

url = session.mcp.url
What's happening:
  • You create a Dropbox sign only session through Composio
  • Composio returns an MCP HTTP URL that exposes Dropbox sign 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 Dropbox sign 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=["dropbox_sign"],
)
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 Dropbox sign through Composio's Tool Router. The agent can perform Dropbox sign 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 Dropbox sign MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Dropbox sign MCP?

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

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

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

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