How to integrate Raisely MCP with LangChain

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Introduction

This guide walks you through connecting Raisely to LangChain 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 LangChain 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 and set up your OpenAI and Composio API keys
  • Connect your Raisely project to Composio
  • Create a Tool Router MCP session for Raisely
  • Initialize an MCP client and retrieve Raisely tools
  • Build a LangChain agent that can interact with Raisely
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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 this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming

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

pip install composio-langchain langchain-mcp-adapters langchain python-dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • composio-langchain provides Composio integration for LangChain
  • langchain-mcp-adapters enables MCP client connections
  • langchain is the core agent framework
  • python-dotenv loads environment variables

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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 your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models

Import dependencies

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Raisely functionality through MCP

Initialize Composio client

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Raisely tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

# Create Tool Router session for Raisely
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['raisely']
)

url = session.mcp.url
What's happening:
  • We're creating a Tool Router session that gives your agent access to Raisely tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Raisely tools as needed

Configure the agent with the MCP URL

client = MultiServerMCPClient({
    "raisely-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Raisely MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • get_tools() retrieves all available Raisely tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model

Set up interactive chat interface

conversation_history = []

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

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
What's happening:
  • We initialize an empty conversation_history list to maintain context across interactions
  • A while loop continuously accepts user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the ainvoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully

Run the application

if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • We call the main() function using asyncio.run() to start the application

Complete Code

Here's the complete code to get you started with Raisely and LangChain:

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['raisely']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "raisely-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Raisely related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

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

Conclusion

You've successfully built a LangChain agent that can interact with Raisely through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

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 LangChain?

Yes, you can. LangChain 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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