How to integrate Raisely MCP with CrewAI

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Introduction

This guide walks you through connecting Raisely to CrewAI using the Composio tool router. By the end, you'll have a working Raisely agent that can list all active fundraising campaigns, show all fundraising profiles for a campaign, retrieve recent posts from our raisely site through natural language commands.

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

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

Also integrate Raisely with

TL;DR

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

The Raisely MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Raisely account. It provides structured and secure access to your fundraising campaigns, so your agent can perform actions like listing campaigns, managing profiles, retrieving fundraising posts, and overseeing users or webhook subscriptions on your behalf.

  • Campaign discovery and management: Instantly fetch and list all your Raisely campaigns, making it easy to organize or review ongoing fundraising efforts.
  • Profile and supporter insights: Retrieve detailed fundraising profiles within any campaign, or list all supporter profiles to track progress and engagement.
  • Posts and communications access: Pull all posts published on the Raisely platform, allowing your agent to keep you updated or summarize campaign communications.
  • User administration: Get a comprehensive list of users on your platform or drill into user-specific fundraising profiles, streamlining supporter management.
  • Webhook and event monitoring: View all configured webhook subscriptions and available event types, helping you automate notifications and stay on top of campaign activity.

Supported Tools & Triggers

Tools
Check Profile URL AvailabilityTool to verify if a profile URL is available for a given campaign and get suggestions if unavailable.
Check User RegistrationTool to check if a user is already registered to a campaign with a specific email address.
Create CampaignTool to create a new campaign in Raisely.
Create Offline DonationTool to record an offline donation in Raisely.
Create Exercise LogTool to create a new exercise log in Raisely.
Create InteractionTool to create a new interaction in Raisely.
Create PostCreate a new post in Raisely.
Create Promo CodeTool to create a new promo code in Raisely.
Create WebhookTool to add a new webhook to your Raisely account.
Delete Exercise LogTool to delete an exercise log from Raisely.
Delete InteractionTool to delete an existing custom interaction from Raisely.
Delete Raisely PostTool to delete a post from the Raisely platform.
Delete ProfileTool to archive a profile in Raisely.
Delete Raisely WebhookTool to delete a webhook from the Raisely platform.
Retrieve Raisely API Documentation SummaryRetrieve a summary of the Raisely API documentation including metadata and sample endpoints.
Authenticate TokenAuthenticate a token to confirm it's valid and check the logged-in user.
Get Available EventsTool to retrieve a list of available Raisely webhook events.
Get CampaignTool to retrieve a specific campaign from Raisely.
Get Campaign ProfileTool to retrieve the campaign profile for a Raisely campaign.
Get campaignsTool to retrieve a paginated list of campaigns from Raisely.
List Campaign ProfilesList all fundraising profiles in a Raisely campaign.
Get Exercise LogRetrieve a specific exercise log by UUID from the Raisely platform.
Get InteractionTool to retrieve a specific interaction from Raisely by its UUID.
Get PostTool to retrieve a specific post from the Raisely fundraising platform.
Get ProfileRetrieves a specific fundraising profile from Raisely by UUID or path.
Raisely Get ProfilesRetrieves a paginated list of fundraising profiles for a Raisely campaign.
Get UserTool to retrieve a specific user from Raisely by UUID.
Get User ProfilesTool to retrieve all profiles associated with a specific user.
Get UsersRetrieve a paginated list of users from the Raisely platform.
List Campaign DonationsTool to retrieve donations from a specific campaign in Raisely.
List Campaign ProductsRetrieves all products available in a Raisely campaign.
List Campaign SubscriptionsList all subscriptions for a specific Raisely campaign.
Raisely List DonationsRetrieve donations from Raisely.
Raisely List Exercise LogsRetrieve exercise logs from Raisely.
List Interaction CategoriesTool to retrieve all interaction categories in the organisation from Raisely.
List InteractionsTool to retrieve all interactions from Raisely.
List OrdersTool to retrieve all orders in a campaign from Raisely.
List PostsTool to retrieve a list of posts you've previously created on Raisely.
List Profile DonationsRetrieves a paginated list of donations for a specific fundraising profile from Raisely.
List Profile MembersRetrieves a paginated list of all members belonging to a team profile in Raisely.
List Profile PostsList all posts created by a specific profile in Raisely.
List Promo CodesTool to retrieve all promo codes in a campaign from Raisely.
List SegmentsTool to retrieve all segments from Raisely.
Raisely List Subscriptions 2Tool to retrieve subscriptions from Raisely.
List TagsTool to retrieve the list of tags from Raisely.
List User DonationsRetrieves a paginated list of donations for a specific user from Raisely.
List User InteractionsRetrieves all interactions for a given user from Raisely.
Raisely List User SubscriptionsRetrieve subscriptions for a specific user from Raisely.
List WebhooksTool to retrieve the list of webhooks configured for a campaign.
Move DonationTool to move a donation to a different profile in Raisely.
Logout from RaiselyTool to invalidate the current user's token and log out.
Create UserCreate a new user in Raisely.
Update CampaignTool to update an existing campaign in Raisely.
Update Campaign ConfigTool to update a specific configuration attribute for a campaign in Raisely.
Update Exercise LogUpdate an existing exercise log in Raisely.
Update PostTool to update a specified post in Raisely.
Update ProfileUpdates a specific profile in Raisely.
Update UserTool to update a specified user in Raisely.
Update WebhookTool to update a specified webhook in Raisely.
Upload Campaign MediaTool to upload one or more files to a campaign's media library in Raisely.
Upsert UserTool to upsert a user record in Raisely, optionally tagging and creating an interaction.

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 Raisely 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 Raisely 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 Raisely MCP URL

Create a Composio Tool Router session for Raisely

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

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

FAQ

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

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

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

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

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