How to integrate Stormboard MCP with CrewAI

This guide walks you through connecting Stormboard to CrewAI using the Composio tool router. By the end, you'll have a working Stormboard agent that can summarize all sticky notes on a board, add action items to a stormboard project, list team members assigned to a board through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Stormboard account through Composio's Stormboard MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Stormboard

Api Key

Stormboard is an online sticky note whiteboard for brainstorming and project collaboration. It helps teams organize ideas and run more productive meetings.

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Introduction

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

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

Also integrate Stormboard with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex

TL;DR

Here's what you'll learn:

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

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

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:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS

Prerequisites

Before starting, make sure you have:

Python 3.9 or higher
A Composio account and API key
A Stormboard 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 Stormboard 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 Stormboard MCP URL

Create a Composio Tool Router session for Stormboard

python

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

url = session.mcp.url

What's happening:

You create a Stormboard only session through Composio
Composio returns an MCP HTTP URL that exposes Stormboard 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 Stormboard 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=["stormboard"],
)
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 Stormboard through Composio's Tool Router. The agent can perform Stormboard 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 Stormboard action and event your agent gets out of the box.

Accept a Storm Invite

Tool to accept a Storm invitation and join the Storm.

Add a Favorite Star

Tool to add a favorite star to a Storm on the Dashboard.

Check Authentication

Tool to verify API key authentication validity.

Close a Storm

Tool to close an open Storm, making it read-only.

Create a Line Connector

Tool to create a line connector between two ideas.

Create a new chat message

Tool to create a new chat message in a Stormboard storm.

Create a New Storm

Tool to create a new Storm in Stormboard for interactive planning and collaboration.

Create a New Tag

Tool to create a new tag in a Storm without any data related to Ideas.

Create a New User

Tool to create a new user account in Stormboard.

Create an idea in Stormboard

Tool to create a new idea in an existing Stormboard storm.

Create Tag Data for an Idea

Tool to update tag data for an idea.

Decline a Storm Invite

Tool to decline a Storm invitation and remove it from your list.

Delete a Connector Between Ideas

Tool to delete a line connector between two ideas.

Delete a Specific Connector

Tool to delete a line connector using the connector ID.

Get Storm Details

Tool to retrieve detailed information about a specific Storm.

Duplicate a Storm

Tool to duplicate an existing Storm.

Get a list of connectors in a Storm

Tool to retrieve a list of connectors within a specific Storm.

Get a List of Ideas

Tool to retrieve all ideas from a Storm.

Get A List Of Participants

Tool to retrieve a list of all participants in a Storm.

Get A List Of Storms Invites

Tool to retrieve a list of storms that you have been invited to.

Get List of Tags in Storm

Tool to retrieve the list of tags that have been created in a Storm.

Get A List Of Your Storms

Tool to retrieve a list of storms from Stormboard.

Get Authentication Info

Tool to retrieve authentication information and API token for the authenticated user.

Get Chat Messages

Tool to retrieve a list of chat messages from a Stormboard storm.

Get Idea Data

Tool to retrieve detailed data and metadata for a specific idea.

Get Info About Your User

Tool to retrieve authenticated user profile information.

Get My Storm Access

Tool to check if the authenticated user has access to a Storm and retrieve their permission level.

Get Storm Template

Tool to retrieve template data for a Storm including all sections and subsections.

Get Tag Data For An Idea

Tool to retrieve tag data for a specific idea in Stormboard.

Get Unread Chat Messages

Tool to retrieve unread chat messages from a specific Storm.

Invite Participants to Storm

Tool to invite people to join a Storm by email.

Join a Storm

Tool to join a Storm using its ID and access key.

Mark Chat Messages as Read

Tool to mark all chat messages as read in a Storm.

Remove a Favorite Star

Tool to remove a favorite star from a Storm on the Dashboard.

Reopen a Storm

Tool to reopen a closed Storm.

Update a Line Connector

Tool to update a specific line connector between two ideas.

Update Notifications

Tool to update user notification preferences.

Update Section in Storm

Tool to update a section's title, description, and/or character in a Storm.

Update Storm Legend

Tool to update the color labels of the legend for a storm.

Update Your Profile

Tool to update your user profile information.

Verify Your Account

Tool to verify a Stormboard account using a verification code.

FRAMEWORKS

How to build Stormboard MCP Agent with another framework

OpenAI Agents SDK

Use Stormboard MCP with OpenAI Agents SDK

Claude Agent SDK

Use Stormboard MCP with Claude Agent SDK

Claude Code

Use Stormboard MCP with Claude Code

Claude Cowork

Use Stormboard MCP with Claude Cowork

Codex

Use Stormboard MCP with Codex

OpenClaw

Use Stormboard MCP with OpenClaw

Hermes

Use Stormboard MCP with Hermes

CLI

Use Stormboard MCP with CLI

Google ADK

Use Stormboard MCP with Google ADK

LangChain

Use Stormboard MCP with LangChain

Vercel AI SDK

Use Stormboard MCP with Vercel AI SDK

Mastra AI

Use Stormboard MCP with Mastra AI

LlamaIndex

Use Stormboard MCP with LlamaIndex

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Gmail

Oauth2

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.

Outlook

Oauth2S2s Oauth2

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.

Google Sheets

Oauth2

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.

Notion

Oauth2Api Key

Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.

FAQ

Frequently asked questions

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

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 Stormboard tools.

Yes, absolutely. You can configure which Stormboard 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.

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 Stormboard data and credentials are handled as safely as possible.

Start with Stormboard.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Stormboard tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Stormboard MCP with CrewAI

Connect Stormboard without auth hassles

Introduction

Also integrate Stormboard with

TL;DR

What is CrewAI?

What is the Stormboard MCP server, and what's possible with it?

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Composio Tool Router session for Stormboard

Initialize the MCP Server

Create a CLI Chatloop and define the Crew

Complete Code

Conclusion

Supported Tools

How to build Stormboard MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

Explore Other Toolkits

Gmail

Outlook

Google Sheets

Notion

Frequently asked questions

What are the differences in Tool Router MCP and Stormboard MCP?+

Can I use Tool Router MCP with CrewAI?+

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

How safe is my data with Composio Tool Router?+

Start with Stormboard.It takes 30 seconds.

Teams ship real agents on Composio