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Splitwise MCP Server for Google ADKGive Google ADK instant access to 10 tools to Create Expense, Delete Expense, Get Current User, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Splitwise as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this App Connector for Google ADK

The Splitwise app connector for Google ADK 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

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="splitwise_agent",
    instruction=(
        "You help users interact with Splitwise "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
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

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.

Google ADK natively supports Splitwise as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

The Splitwise MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Google ADK

When Google ADK 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.

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

Connect Splitwise to Google ADK via MCP

Follow these steps to wire Splitwise into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 10 tools from Splitwise via MCP

Why Use Google ADK with the Splitwise MCP Server

Google ADK provides unique advantages when paired with Splitwise through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Splitwise

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Splitwise tools with BigQuery, Vertex AI, and Cloud Functions

Splitwise + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Splitwise MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Splitwise and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Splitwise tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Splitwise regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Splitwise

Example Prompts for Splitwise in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Splitwise immediately.

01

"Check how much I currently owe in the 'Paris Trip' group."

02

"Add a new $100 expense for Uber rides to Splitwise and split it equally with Jane."

03

"List all my friends connected on Splitwise."

Troubleshooting Splitwise MCP Server with Google ADK

Common issues when connecting Splitwise to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Splitwise + Google ADK FAQ

Common questions about integrating Splitwise MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.