# How to integrate Splitwise MCP with Pydantic AI

```json
{
  "title": "How to integrate Splitwise MCP with Pydantic AI",
  "toolkit": "Splitwise",
  "toolkit_slug": "splitwise",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/splitwise/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/splitwise/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:26:49.209Z"
}
```

## Introduction

This guide walks you through connecting Splitwise to Pydantic AI using the Composio tool router. By the end, you'll have a working Splitwise agent that can add a new friend using their email, create a dinner expense split equally, list all groups i'm part of through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a Splitwise account through Composio's Splitwise MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Splitwise with

- [OpenAI Agents SDK](https://composio.dev/toolkits/splitwise/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/splitwise/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/splitwise/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/splitwise/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/splitwise/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/splitwise/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/splitwise/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/splitwise/framework/cli)
- [Google ADK](https://composio.dev/toolkits/splitwise/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/splitwise/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/splitwise/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/splitwise/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/splitwise/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/splitwise/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 Splitwise
- 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 Splitwise 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 Splitwise MCP server, and what's possible with it?

The Splitwise MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Splitwise account. It provides structured and secure access to your expenses and group data, so your agent can perform actions like creating expenses, adding friends, retrieving categories, and managing your account on your behalf.
- Expense tracking and creation: Quickly have your agent record new expenses, split bills, or log payments—either between you and friends or within groups.
- Friend and contact management: Easily add new friends with their email and name, or remove existing friends to keep your network current.
- Group info and collaboration: Retrieve details about any group you belong to, making it simple to manage shared costs and stay organized with your housemates, travel buddies, or teams.
- Expense category and currency lookup: Ask the agent to fetch available expense categories or supported currencies, helping you record transactions accurately and consistently.
- Account and profile insights: Let your agent pull your current user details so you can quickly review account information or verify profile data as needed.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SPLITWISE_ADD_FRIEND` | Add Friend | Tool to add a new friend to Splitwise. Use when you have the friend's email and name details ready. |
| `SPLITWISE_ADD_USER_TO_GROUP` | Add User to Group | Tool to add a user to a group. Use when you need to add an existing Splitwise user to a specific group. Note: 200 OK does not indicate success; always check the response 'success' field. |
| `SPLITWISE_CREATE_COMMENT` | Create Comment | Tool to create a comment on a specific expense. Use when you need to add a comment or note to an existing expense. |
| `SPLITWISE_CREATE_EXPENSE` | Create Expense | Tool to create a new Splitwise expense. Use when you need to record a payment or bill in a group or between users. Provide exactly one of split_equally or users for shares — supplying both or neither causes a validation error and no expense is created. |
| `SPLITWISE_CREATE_FRIENDS` | Create Friends | Tool to add multiple friends at once to Splitwise. Use when you need to add several friends in a single operation. |
| `SPLITWISE_CREATE_GROUP` | Create Group | Tool to create a new group in Splitwise. Use when you need to create a group for tracking shared expenses. The current user is automatically added to the group. You can optionally add other members during creation. |
| `SPLITWISE_DELETE_COMMENT` | Delete Comment | Tool to delete a comment by its ID. Use after confirming you have a valid comment ID. |
| `SPLITWISE_DELETE_EXPENSE` | Delete Expense | Tool to delete an existing expense by its ID. Deletion is irreversible — no undelete capability exists. Use after confirming you have the correct expense ID. Inspect the response's `success` and `error` fields to verify deletion succeeded; failures (e.g., user lacks owner/participant permissions) are surfaced there. |
| `SPLITWISE_DELETE_FRIEND` | Delete Friend | Tool to delete an existing friend by ID. Use when you need to remove a friend relationship by its user ID. Call after confirming the correct friend ID. |
| `SPLITWISE_DELETE_GROUP` | Delete Group | Tool to delete a group and all associated records by its ID. Use when you need to permanently remove a group and its expenses. Call after confirming the correct group ID. |
| `SPLITWISE_GET_CATEGORIES` | Get Categories | Tool to retrieve expense categories. Use when you need to list available categories before creating an expense. |
| `SPLITWISE_GET_COMMENTS` | Get Comments | Tool to retrieve all comments associated with a specific expense. Use when you need to view comments on an expense, including both system-generated updates and user-authored messages. |
| `SPLITWISE_GET_CURRENCIES` | Get Currencies | Tool to retrieve a list of supported currencies. Use when you need to display or validate currency options. |
| `SPLITWISE_GET_CURRENT_USER` | Get Current User | Tool to retrieve information about the current authenticated user. Use when you need profile details of the logged-in user. |
| `SPLITWISE_GET_EXPENSE` | Get Expense | Tool to retrieve detailed information about a specific expense by ID. Use when you need to view expense details including participants, shares, and repayments. |
| `SPLITWISE_GET_EXPENSES` | Get Expenses | Tool to list the current user's expenses from Splitwise account. Use when you need to view expenses with optional filters like date ranges, groups, or friends. |
| `SPLITWISE_GET_FRIEND` | Get Friend Details | Tool to retrieve detailed information about a specific friend. Use when you need to get profile details and balance information for a friend by their user ID. |
| `SPLITWISE_GET_FRIENDS` | Get Friends | Tool to list current user's friends on Splitwise. Use when you need to view all friends, their balances, and shared groups. |
| `SPLITWISE_GET_GROUP` | Get Group Details | Tool to retrieve detailed information about a specific group. Returns full group details including members, balances, debts (both original and simplified), avatar URLs, and group settings. Use this when you need comprehensive information about a particular group, such as viewing who owes what to whom. Use group ID of 0 to get non-group expenses. |
| `SPLITWISE_GET_GROUPS` | Get Groups | Retrieves all groups the authenticated user belongs to, including group details, members, balances, and debt information. Returns a 'groups' array with no server-side filtering; all name- or ID-based filtering must be done client-side on the full response. Group names may share similar strings or differ in case/whitespace — normalize when matching and prefer group_id once identified. The groups array may be empty if the user belongs to no groups. |
| `SPLITWISE_GET_NOTIFICATIONS` | Get Notifications | Tool to retrieve recent activity notifications from the user's Splitwise account. Returns notifications with HTML content suitable for display, with the most recent items first. Use when you need to view recent account activity or updates. |
| `SPLITWISE_GET_USER` | Get User Information | Retrieves basic profile information about any Splitwise user by their ID. Returns the user's name, email, registration status, and profile picture. This endpoint only returns public user information. For the authenticated user's full profile (including notifications, currency preferences, and locale settings), use get_current_user instead. |
| `SPLITWISE_REMOVE_USER_FROM_GROUP` | Remove User from Group | Tool to remove a user from a group. Use when you need to remove a user from a specific group. Note: User must have a zero balance in the group for removal to succeed. 200 OK does not indicate success; always check the response 'success' field. |
| `SPLITWISE_UNDELETE_EXPENSE` | Restore Deleted Expense | Tool to restore a previously deleted expense and its associated records. Use when you need to recover an expense that was deleted. Call after confirming the correct expense ID. Not a guaranteed undo mechanism — treat deletion as high-impact and verify restoration completeness afterward. |
| `SPLITWISE_UNDELETE_GROUP` | Restore Deleted Group | Tool to restore a previously deleted group and all its associated records. Use when you need to recover a group that was deleted. Call after confirming the correct group ID. |
| `SPLITWISE_UPDATE_EXPENSE` | Update Expense | Tool to update an existing Splitwise expense. Use when you need to modify expense details such as cost, description, or participant shares. Only include fields you want to change. Note that a 200 OK response does not guarantee success - check that the errors object is empty. |
| `SPLITWISE_UPDATE_USER` | Update User | Tool to update user account details including name, email, password, and preferences. Use when you need to modify the current user's profile information. |

## Supported Triggers

None listed.

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

The Splitwise MCP server is an implementation of the Model Context Protocol that connects your AI agent to Splitwise. It provides structured and secure access so your agent can perform Splitwise 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 Splitwise
- 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 Splitwise
- MCPServerStreamableHTTP connects to the Splitwise 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 Splitwise 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 Splitwise
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["splitwise"],
    )
    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 Splitwise endpoint
- The agent uses GPT-5 to interpret user commands and perform Splitwise operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
splitwise_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[splitwise_mcp],
    instructions=(
        "You are a Splitwise assistant. Use Splitwise 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
- Splitwise 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 Splitwise.\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 Splitwise
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["splitwise"],
    )
    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
    splitwise_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[splitwise_mcp],
        instructions=(
            "You are a Splitwise assistant. Use Splitwise 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 Splitwise.\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 Splitwise through Composio's Tool Router. With this setup, your agent can perform real Splitwise 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 + Splitwise 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 Splitwise MCP Agent with another framework

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

## Related Toolkits

- [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
- [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions.
- [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.
- [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly.
- [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth.
- [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone.
- [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place.
- [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations.
- [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications.
- [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities.
- [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation.
- [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place.
- [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics.
- [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses.
- [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly.
- [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place.
- [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows.
- [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free.

## Frequently Asked Questions

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

With a standalone Splitwise MCP server, the agents and LLMs can only access a fixed set of Splitwise tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Splitwise 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 Splitwise tools.

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

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

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