Splitwise MCP Server for AutoGenGive AutoGen instant access to 10 tools to Create Expense, Delete Expense, Get Current User, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Splitwise as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Splitwise app connector for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="splitwise_agent",
tools=tools,
system_message=(
"You help users with Splitwise. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Splitwise tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
The Splitwise MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 AutoGen
When AutoGen 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 AutoGen via MCP
Follow these steps to wire Splitwise into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Splitwise MCP Server
AutoGen provides unique advantages when paired with Splitwise through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Splitwise tools to solve complex tasks
Role-based architecture lets you assign Splitwise tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Splitwise tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Splitwise tool responses in an isolated environment
Splitwise + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Splitwise MCP Server delivers measurable value.
Collaborative analysis: one agent queries Splitwise while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Splitwise, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Splitwise data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Splitwise responses in a sandboxed execution environment
Example Prompts for Splitwise in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Splitwise to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Splitwise + AutoGen FAQ
Common questions about integrating Splitwise MCP Server with AutoGen.