3,400+ MCP servers ready to use
Vinkius
A

Bring Expense Tracking
to AutoGen

Learn how to connect Splitwise to AutoGen and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create ExpenseDelete ExpenseGet Current UserGet ExpenseGet ExpensesGet FriendGet FriendsGet GroupGet GroupsGet User

What is the 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.

How it works

1. Log into your Splitwise account. 2. Navigate to your Developer Applications settings to generate a personal API token. 3. Insert your Splitwise API Key directly into Vinkius vault.

Who is this for?

Perfect for roommates, travel groups, and everyday individuals using AI tools like Claude/Cursor to parse complex grocery or travel receipts and directly sync them to Splitwise.

Built-in capabilities (10)

create_expense

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_expense

Delete an expense

get_current_user

Get current user details

get_expense

Get a specific expense

get_expenses

List expenses

get_friend

Get friend details

get_friends

List all friends

get_group

Get group details

get_groups

List all groups

get_user

Get user details by ID

Why AutoGen?

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.

  • 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

A
See it in action

Splitwise in AutoGen

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Splitwise and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Splitwise to AutoGen through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Splitwise in AutoGen

The Splitwise 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in AutoGen only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Splitwise
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Splitwise for AutoGen

Every tool call from AutoGen to the Splitwise MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can the agent distribute the bill unequally?

Yes! When creating an expense, the AI agent can pass detailed users configuration in JSON to specify exact dollar amounts for each involved party.

02

How far back does the expense log go?

The agent typically limits the reading to the 20 most recent expenses to keep memory manageable, but can be instructed to pull earlier ones.

03

Can the bot settle debts?

Currently, the agent interacts with expenses. To log a debt settlement, the agent submits a specific 'payment = true' expense wrapper via the splitwise schema.

04

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Splitwise tools during their conversation turns.

05

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.

06

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

07

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"