Deterministic Fair-Share Tip Splitter MCP Server for Google ADKGive Google ADK instant access to 1 tools to Split Bill
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Deterministic Fair-Share Tip Splitter as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Deterministic Fair-Share Tip Splitter MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="deterministic_fair_share_tip_splitter_agent",
instruction=(
"You help users interact with Deterministic Fair-Share Tip Splitter "
"using 1 available tools."
),
tools=[mcp_tools],
)
* 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 Deterministic Fair-Share Tip Splitter MCP Server
Splitting a restaurant bill with shared appetizers, individual drinks, and group tips is a mathematical nightmare for LLMs. They frequently hallucinate decimal distributions and fail to balance the final grand total. The Tip Splitter MCP offloads this exact calculation to a rigorous V8 mathematical engine.
Google ADK natively supports Deterministic Fair-Share Tip Splitter as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
The Superpowers
- Proportional Taxation & Tipping: The engine automatically calculates each person's base subtotal based on the specific items they consumed (or shared), and then proportionally applies the exact tax and tip burden to each individual.
- Penny Reconciliation Algorithm: When fractional cents create a discrepancy between the calculated individual totals and the actual receipt grand total, the engine automatically reconciles the missing or extra penny to guarantee 100% mathematical closure.
- Shared Consumption Mapping: Allows mapping a single item (like 'Nachos') to multiple consumers (e.g., 'Alice' and 'Bob'). The engine dynamically splits the price before applying secondary rates.
- Zero-Dependency Execution: Operates entirely natively within the V8 runtime, guaranteeing extreme speed and precision without pulling heavy external libraries.
The Deterministic Fair-Share Tip Splitter MCP Server exposes 1 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 Deterministic Fair-Share Tip Splitter tools available for Google ADK
When Google ADK connects to Deterministic Fair-Share Tip Splitter through Vinkius, your AI agent gets direct access to every tool listed below — spanning math-precision, billing, tax-calculation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Split bill on Deterministic Fair-Share Tip Splitter
You must provide the items as a stringified JSON array, along with the total taxAmount and tipPercentage. Deterministically calculates individual bill shares, proportionally distributing taxes and tips among consumers based on their exact items, and resolving rounding discrepancies
Connect Deterministic Fair-Share Tip Splitter to Google ADK via MCP
Follow these steps to wire Deterministic Fair-Share Tip Splitter into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Deterministic Fair-Share Tip Splitter MCP Server
Google ADK provides unique advantages when paired with Deterministic Fair-Share Tip Splitter through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Deterministic Fair-Share Tip Splitter
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Deterministic Fair-Share Tip Splitter tools with BigQuery, Vertex AI, and Cloud Functions
Deterministic Fair-Share Tip Splitter + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Deterministic Fair-Share Tip Splitter MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Deterministic Fair-Share Tip Splitter and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Deterministic Fair-Share Tip Splitter tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Deterministic Fair-Share Tip Splitter regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Deterministic Fair-Share Tip Splitter
Example Prompts for Deterministic Fair-Share Tip Splitter in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Deterministic Fair-Share Tip Splitter immediately.
"Split this bill: Burger ($15) for Alice, Salad ($12) for Bob, and shared Nachos ($10) for both. Tax is $3.50 and tip is 20%."
"Three of us had a $90 steak dinner (all shared). Tax $8, tip 15%. How much each?"
"Calculate the fair split for a $45 bill where John had a $30 wine and Sarah had a $15 pasta. Tax $4, tip 18%."
Troubleshooting Deterministic Fair-Share Tip Splitter MCP Server with Google ADK
Common issues when connecting Deterministic Fair-Share Tip Splitter to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkDeterministic Fair-Share Tip Splitter + Google ADK FAQ
Common questions about integrating Deterministic Fair-Share Tip Splitter MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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