How to integrate Raisely MCP with Mastra AI

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Introduction

This guide walks you through connecting Raisely to Mastra AI 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 Mastra AI 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:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Raisely tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Raisely tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Raisely agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Raisely through MCP.

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_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 your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session

Create a Tool Router session for Raisely

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["raisely"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Raisely MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "raisely" for Raisely access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Raisely toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "raisely-mastra-agent",
    instructions: "You are an AI agent with Raisely tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

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

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;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        raisely: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Raisely toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

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

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["raisely"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      raisely: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "raisely-mastra-agent",
    instructions: "You are an AI agent with Raisely tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

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

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { raisely: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Raisely through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows

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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 Mastra AI?

Yes, you can. Mastra AI 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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