# How to integrate ReferralRock MCP with Pydantic AI

```json
{
  "title": "How to integrate ReferralRock MCP with Pydantic AI",
  "toolkit": "ReferralRock",
  "toolkit_slug": "referralrock",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/referralrock/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/referralrock/framework/pydantic-ai.md",
  "updated_at": "2026-03-29T06:47:32.628Z"
}
```

## Introduction

This guide walks you through connecting ReferralRock to Pydantic AI using the Composio tool router. By the end, you'll have a working ReferralRock agent that can list all active referral campaigns, add a new member to referral program, show referral stats for this week through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a ReferralRock account through Composio's ReferralRock MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate ReferralRock with

- [OpenAI Agents SDK](https://composio.dev/toolkits/referralrock/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/referralrock/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/referralrock/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/referralrock/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/referralrock/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/referralrock/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/referralrock/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/referralrock/framework/cli)
- [Google ADK](https://composio.dev/toolkits/referralrock/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/referralrock/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/referralrock/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/referralrock/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/referralrock/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/referralrock/framework/crew-ai)

## 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 ReferralRock
- 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 ReferralRock 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 ReferralRock MCP server, and what's possible with it?

The ReferralRock MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your ReferralRock account. It provides structured and secure access so your agent can perform ReferralRock operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `REFERRALROCK_DELETE_EMAIL_REMOVEUNSUBSCRIBE` | Remove Email from Unsubscribe List | Tool to remove an email address from the unsubscribe list. Use when you need to resubscribe an email address that was previously unsubscribed. |
| `REFERRALROCK_DELETE_HOOKS` | Delete Webhook | Tool to delete a webhook subscription. Use when you need to cancel and stop data transmission to a registered webhook URL. |
| `REFERRALROCK_DELETE_MEMBERS_REMOVE` | Delete Members from Program | Tool to delete members from a referral program. Use when you need to remove one or more members. Each member requires either valid primaryInfo (memberId or referralCode) OR both secondaryInfo (externalIdentifier or email) and tertiaryInfo (program details) to be uniquely identified. |
| `REFERRALROCK_DELETE_REFERRAL_REMOVE` | Delete Referral | Tool to delete one or more referrals from a referral program. Use when you need to remove referrals by their unique ID or other identifying information. Each referral is deleted only when it can be uniquely identified. |
| `REFERRALROCK_DELETE_REWARDS` | Delete Rewards | Tool to delete rewards from members or referrals in a referral program. Use when you need to remove one or more rewards from the system. |
| `REFERRALROCK_GET_EMAIL_UNSUBSCRIBED_STATUS` | Get Email Unsubscribed Status | Tool to check if an email address is unsubscribed from communications. Use when you need to verify unsubscribe status before sending emails. |
| `REFERRALROCK_GET_WEBHOOK_HISTORY_FOR_EVENT` | Get Webhook History for Event | Tool to retrieve webhook history for a specific event. Use when you need to check the delivery status and details of webhooks for a particular event type. |
| `REFERRALROCK_LIST_PROGRAM_MEMBERS` | List Program Members | Tool to list program members with filtering and pagination. Use when you need to retrieve member information, optionally filtering by program, search query, status, or date range. Supports sorting and pagination for large datasets. |
| `REFERRALROCK_GET_MEMBER_STATISTICS` | Get Member Statistics | Tool to retrieve comprehensive statistics for a single member from ReferralRock. Use when you need to analyze a member's sharing, referral, and reward activities over a specified time period. |
| `REFERRALROCK_GET_PAYOUT` | Get Payout | Tool to retrieve payout list by ID. Use when you need to get specific payout information using a payout identifier. |
| `REFERRALROCK_GET_PAYOUT_DETAILS_BY_ID` | Get Payout Details by ID | Tool to get payout details by ID. Use when you need to retrieve specific payout information using a payout identifier. |
| `REFERRALROCK_GET_PENDING_PAYOUTS` | Get Pending Payouts | Tool to get pending payouts for a member or recipient. Use when you need to retrieve pending payout information, optionally filtering by recipient and including ineligible rewards. |
| `REFERRALROCK_GET_PAYOUT_TRANSACTIONS` | Get Payout Transactions | Tool to get payout transaction history for referral program participants. Use when you need to retrieve payout transaction information, optionally filtering by recipient ID or specific transaction ID. |
| `REFERRALROCK_GET_SINGLE_PROGRAM` | Get Single Program | Tool to retrieve a single referral program by name. Use when you need details about a specific program. |
| `REFERRALROCK_LIST_REFERRAL_PROGRAMS` | List Referral Programs | List all referral programs in ReferralRock. Use this to retrieve details about available referral programs with pagination support. |
| `REFERRALROCK_GET_REFERRALS` | Get Referrals | Tool to list referrals with filtering and pagination options. Use when you need to retrieve referrals from ReferralRock, optionally filtered by program, member, date range, status, or search query. Supports sorting and pagination. |
| `REFERRALROCK_GET_SINGLE_REFERRAL` | Get Single Referral | Tool to retrieve a single referral by email, ID, or external ID. Use when you need to fetch detailed information about a specific referral from ReferralRock. |
| `REFERRALROCK_GET_REWARD_RULES` | Get Reward Rules | Tool to get reward rules for a program. Use when you need to retrieve member rewards rules configuration including triggers, payouts, and delivery settings for a specific program. |
| `REFERRALROCK_GET_REWARDS` | Get Rewards | Tool to list rewards with optional filtering and pagination. Use when you need to retrieve rewards filtered by program, member, status, date ranges, or specific search queries. Supports sorting and pagination via offset/count parameters. |
| `REFERRALROCK_DELETE_EMAIL_REMOVEUNSUBSCRIBE` | Remove Email from Unsubscribe List | Tool to remove an email address from the unsubscribe list. Use when you need to resubscribe a previously unsubscribed email address to allow them to receive emails again. |
| `REFERRALROCK_UNSUBSCRIBE_EMAIL_ADDRESS` | Unsubscribe Email Address | Tool to unsubscribe an email address from the ReferralRock mailing list. Use when a user wants to opt out of email communications. |
| `REFERRALROCK_CREATE_WEBHOOK_SUBSCRIPTION` | Create Webhook Subscription | Tool to create or update a webhook subscription for event notifications. Use when you need to register a callback URL to receive POST requests with JSON data when specified events occur. |
| `REFERRALROCK_CREATE_INVITE_FEED_ENTRY` | Create Invite Feed Entry | Tool to create an invite feed entry for automatic invitations. Use when you need to add a contact to the referral program's invite queue. |
| `REFERRALROCK_CREATE_INVITE_FEED_ENTRIES` | Create Invite Feed Entries | Tool to create multiple invite feed entries for automatic invites in ReferralRock. Use when you need to send a set of contacts to be used with automatic member invitations. |
| `REFERRALROCK_GENERATE_MEMBER_ACCESS_TOKEN` | Generate Member Access Token | Tool to generate pre-authenticated member access URLs for sharing and portal experiences. Use when you need to create temporary access tokens for members to access their portal or share content. Note: This endpoint is deprecated; consider using memberaccessurls endpoint instead. |
| `REFERRALROCK_GENERATE_MEMBER_ACCESS_URLS` | Generate Member Access URLs | Tool to generate member access URLs for custom share experience or secure portal embedding. Use when you need to create unique access and share links for members with optional expiration time. |
| `REFERRALROCK_ADD_NEW_MEMBER_TO_PROGRAM` | Add new member to program | Tool to create a new member and add them to a referral program. Use when you need to add a new member with their program ID, name, and email. Returns HTTP 201 (Created) on success with member confirmation details. |
| `REFERRALROCK_REMOVE_MEMBERS_FROM_PROGRAM` | Remove Members from Program | Tool to remove members from a referral program. Use when you need to delete members from the system. A member is removed when uniquely identified by either primaryInfo (memberId or referralCode) OR both secondaryInfo and tertiaryInfo. |
| `REFERRALROCK_CREATE_REFERRAL_ACTION` | Create Referral Action | Tool to create a referral action for processing recurring rewards. Use when you need to record a referral action with an amount value for calculating percentage-based recurring rewards. The action can be linked to referrals via email, ID, or external identifier. |
| `REFERRALROCK_REMOVE_REFERRAL` | Remove Referral | Tool to remove referrals from a referral program. Use when you need to delete referrals using their referral ID or alternative identifiers. |
| `REFERRALROCK_CREATE_NEW_REFERRAL` | Create New Referral | Tool to create a new referral in ReferralRock based on a member's referral code. Use when you need to add a referral to a program, providing details like contact information, transaction amount, and custom fields. |
| `REFERRALROCK_UPDATE_REFERRAL_STATUS` | Update Referral Status | Tool to update referral status in ReferralRock. Use when you need to change a referral's status to pending, qualified, approved, or denied. Note: This endpoint is deprecated; use POST /api/referral/update instead. |
| `REFERRALROCK_UPDATE_REFERRAL_DETAILS` | Update Referral Details | Tool to update referral details in a referral program. Use when you need to modify existing referral information such as contact details, status, notes, or custom fields. Requires either a referralId OR both secondaryInfo and tertiaryInfo to identify referrals. Supports bulk updates by providing multiple update items. |
| `REFERRALROCK_ISSUE_REWARD_TO_MEMBER` | Issue Reward to Member | Tool to issue a reward to a member in the Referral Rock system. Use when you need to issue a specific reward to a recipient, with the option to override eligibility date rules. |
| `REFERRALROCK_REMOVE_REWARDS` | Remove Rewards | Tool to remove rewards from members or referrals of a referral program. Use when you need to delete one or more rewards by their IDs. The endpoint returns a result for each reward ID indicating whether the removal was successful. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The ReferralRock MCP server is an implementation of the Model Context Protocol that connects your AI agent to ReferralRock. It provides structured and secure access so your agent can perform ReferralRock operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like ReferralRock
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

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

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to ReferralRock 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
```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 ReferralRock
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["referralrock"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

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

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- ReferralRock API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```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 ReferralRock.\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()
```

### 8. Run the application

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

## Complete Code

```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 ReferralRock
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["referralrock"],
    )
    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
    referralrock_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[referralrock_mcp],
        instructions=(
            "You are a ReferralRock assistant. Use ReferralRock 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 ReferralRock.\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 ReferralRock through Composio's Tool Router. With this setup, your agent can perform real ReferralRock 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 + ReferralRock for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## How to build ReferralRock MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/referralrock/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/referralrock/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/referralrock/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/referralrock/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/referralrock/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/referralrock/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/referralrock/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/referralrock/framework/cli)
- [Google ADK](https://composio.dev/toolkits/referralrock/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/referralrock/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/referralrock/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/referralrock/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/referralrock/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/referralrock/framework/crew-ai)

## Related Toolkits

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- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
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- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing.
- [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.
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- [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.
- [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
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- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.
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- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and ReferralRock MCP?

With a standalone ReferralRock MCP server, the agents and LLMs can only access a fixed set of ReferralRock tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from ReferralRock and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Pydantic AI?

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 ReferralRock tools.

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

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
