How to integrate Raisely MCP with LangChain

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.

Raisely logoRaisely
Api Key

Raisely is a fundraising platform that helps organizations create and manage online fundraising campaigns. It streamlines donor management and empowers teams to drive donations more effectively.

61 Tools

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.

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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.

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

Step by step10 STEPS
1

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
2

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.
3

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters 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/core is the core agent framework
  • dotenv/config loads environment variables
4

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
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Raisely functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
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
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['raisely']
    }
);

const 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
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "raisely-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "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
  • getTools() retrieves all available Raisely tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept 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 invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['raisely']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "raisely-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Raisely related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

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.
TOOLS

Supported Tools

Every Raisely action and event your agent gets out of the box.

Check Profile URL Availability

Tool to verify if a profile URL is available for a given campaign and get suggestions if unavailable.

Check User Registration

Tool to check if a user is already registered to a campaign with a specific email address.

Create Campaign

Tool to create a new campaign in Raisely.

Create Offline Donation

Tool to record an offline donation in Raisely.

Create Exercise Log

Tool to create a new exercise log in Raisely.

Create Interaction

Tool to create a new interaction in Raisely.

Create Post

Create a new post in Raisely.

Create Promo Code

Tool to create a new promo code in Raisely.

Create Webhook

Tool to add a new webhook to your Raisely account.

Delete Exercise Log

Tool to delete an exercise log from Raisely.

Delete Interaction

Tool to delete an existing custom interaction from Raisely.

Delete Raisely Post

Tool to delete a post from the Raisely platform.

Delete Profile

Tool to archive a profile in Raisely.

Delete Raisely Webhook

Tool to delete a webhook from the Raisely platform.

Retrieve Raisely API Documentation Summary

Retrieve a summary of the Raisely API documentation including metadata and sample endpoints.

Authenticate Token

Authenticate a token to confirm it's valid and check the logged-in user.

Get Available Events

Tool to retrieve a list of available Raisely webhook events.

Get Campaign

Tool to retrieve a specific campaign from Raisely.

Get Campaign Profile

Tool to retrieve the campaign profile for a Raisely campaign.

Get campaigns

Tool to retrieve a paginated list of campaigns from Raisely.

List Campaign Profiles

List all fundraising profiles in a Raisely campaign.

Get Exercise Log

Retrieve a specific exercise log by UUID from the Raisely platform.

Get Interaction

Tool to retrieve a specific interaction from Raisely by its UUID.

Get Post

Tool to retrieve a specific post from the Raisely fundraising platform.

Get Profile

Retrieves a specific fundraising profile from Raisely by UUID or path.

Raisely Get Profiles

Retrieves a paginated list of fundraising profiles for a Raisely campaign.

Get User

Tool to retrieve a specific user from Raisely by UUID.

Get User Profiles

Tool to retrieve all profiles associated with a specific user.

Get Users

Retrieve a paginated list of users from the Raisely platform.

List Campaign Donations

Tool to retrieve donations from a specific campaign in Raisely.

List Campaign Products

Retrieves all products available in a Raisely campaign.

List Campaign Subscriptions

List all subscriptions for a specific Raisely campaign.

Raisely List Donations

Retrieve donations from Raisely.

Raisely List Exercise Logs

Retrieve exercise logs from Raisely.

List Interaction Categories

Tool to retrieve all interaction categories in the organisation from Raisely.

List Interactions

Tool to retrieve all interactions from Raisely.

List Orders

Tool to retrieve all orders in a campaign from Raisely.

List Posts

Tool to retrieve a list of posts you've previously created on Raisely.

List Profile Donations

Retrieves a paginated list of donations for a specific fundraising profile from Raisely.

List Profile Members

Retrieves a paginated list of all members belonging to a team profile in Raisely.

List Profile Posts

List all posts created by a specific profile in Raisely.

List Promo Codes

Tool to retrieve all promo codes in a campaign from Raisely.

List Segments

Tool to retrieve all segments from Raisely.

Raisely List Subscriptions 2

Tool to retrieve subscriptions from Raisely.

List Tags

Tool to retrieve the list of tags from Raisely.

List User Donations

Retrieves a paginated list of donations for a specific user from Raisely.

List User Interactions

Retrieves all interactions for a given user from Raisely.

Raisely List User Subscriptions

Retrieve subscriptions for a specific user from Raisely.

List Webhooks

Tool to retrieve the list of webhooks configured for a campaign.

Move Donation

Tool to move a donation to a different profile in Raisely.

Logout from Raisely

Tool to invalidate the current user's token and log out.

Create User

Create a new user in Raisely.

Update Campaign

Tool to update an existing campaign in Raisely.

Update Campaign Config

Tool to update a specific configuration attribute for a campaign in Raisely.

Update Exercise Log

Update an existing exercise log in Raisely.

Update Post

Tool to update a specified post in Raisely.

Update Profile

Updates a specific profile in Raisely.

Update User

Tool to update a specified user in Raisely.

Update Webhook

Tool to update a specified webhook in Raisely.

Upload Campaign Media

Tool to upload one or more files to a campaign's media library in Raisely.

Upsert User

Tool to upsert a user record in Raisely, optionally tagging and creating an interaction.

FAQ

Frequently asked questions

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.

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.

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.

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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