How to integrate Raisely MCP with Pydantic AI

This guide walks you through connecting Raisely to Pydantic 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 Pydantic 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.

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 Pydantic 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 Pydantic 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.

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TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Raisely
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Raisely workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active 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

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Raisely
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

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

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Raisely
  • MCPServerStreamableHTTP connects to the Raisely MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Raisely
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["raisely"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
raisely_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[raisely_mcp],
    instructions=(
        "You are a Raisely assistant. Use Raisely tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Raisely endpoint
  • The agent uses GPT-5 to interpret user commands and perform Raisely operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Raisely.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Raisely API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Raisely
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["raisely"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    raisely_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[raisely_mcp],
        instructions=(
            "You are a Raisely assistant. Use Raisely tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Raisely.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Raisely through Composio's Tool Router. With this setup, your agent can perform real Raisely actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Raisely for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
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. Pydantic 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.

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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