Splitwise MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Create Expense, Delete Expense, Get Current User, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Splitwise through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Splitwise app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Splitwise Assistant",
instructions=(
"You help users interact with Splitwise. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Splitwise"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Splitwise MCP Server
What you can do
- Track Expenses: Give your AI agent the ability to check who owes who across your distinct groups.
- Log Bills: Ask your AI to calculate receipts and accurately add the expense directly into Splitwise with automatic percentage or custom splits.
- Manage Friends & Groups: Easily pull details of group members.
The OpenAI Agents SDK auto-discovers all 10 tools from Splitwise through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Splitwise, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Splitwise MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Splitwise tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Splitwise through Vinkius, your AI agent gets direct access to every tool listed below — spanning expense-tracking, bill-splitting, debt-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Expects a stringified JSON object containing details like cost, description, format details (e.g. users__0__user_id=123, users__0__paid_share=5.00, etc. or JSON). Create an expense
Delete an expense
Get current user details
Get a specific expense
List expenses
Get friend details
List all friends
Get group details
List all groups
Get user details by ID
Connect Splitwise to OpenAI Agents SDK via MCP
Follow these steps to wire Splitwise into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Splitwise MCP Server
OpenAI Agents SDK provides unique advantages when paired with Splitwise through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Splitwise + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Splitwise MCP Server delivers measurable value.
Automated workflows: build agents that query Splitwise, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Splitwise, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Splitwise tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Splitwise to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Splitwise in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Splitwise immediately.
"Check how much I currently owe in the 'Paris Trip' group."
"Add a new $100 expense for Uber rides to Splitwise and split it equally with Jane."
"List all my friends connected on Splitwise."
Troubleshooting Splitwise MCP Server with OpenAI Agents SDK
Common issues when connecting Splitwise to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Splitwise + OpenAI Agents SDK FAQ
Common questions about integrating Splitwise MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.