How to Use the Cash-to-Cash Cycle Calculator MCP in Google ADK

Get enterprise-grade financial insights with the Cash-to-Cash Cycle Calculator on Google ADK.

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Connect Cash-to-Cash Cycle Calculator MCP to Google ADK

Create your Vinkius account to connect Cash-to-Cash Cycle Calculator to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Cash-to-Cash Cycle Calculator with Google ADK

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Compute cycle metrics on your cloud data

Use `calculate_cycle_metrics` to process large datasets directly within your agent workflow. It computes your C2C efficiency by consuming data points from your existing infrastructure. This setup works perfectly for enterprise agents. You can pipe data from your cloud storage directly into the tool for instant results.

Industry standards for your Google ADK agents

Call `lookup_industry_standard` to ground your agent in real-world benchmarks. It ensures your automated decisions align with the reality of your specific industry. This tool is designed to work with your existing agent framework. It provides the necessary context for high-stakes financial planning.

Assess operational health with ease

Run `evaluate_operational_health` to let your agent identify inefficiencies in your cash flow. It flags critical issues so you can address them before they impact your bottom line. Integration with Google ADK makes this process straightforward. You can easily restrict access to these tools using the built-in filter if needed.

Setup guide

Set up Cash-to-Cash Cycle Calculator MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Cash-to-Cash Cycle Calculator tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Cash-to-Cash Cycle Calculator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cash-to-Cash Cycle Calculator tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Cash-to-Cash Cycle Calculator MCP in Google ADK

You initialize the McpToolset with your server URL and pass it to your agent. This enables immediate access to the full suite of financial tools.

Yes, you can feed your BigQuery outputs into these tools for advanced analysis. It creates a powerful bridge between your cloud data and your agent's reasoning.

Absolutely. You can apply a tool name filter to the toolset to restrict the agent's access, ensuring it only uses the functions you permit.

The server is optimized for high-throughput performance within your infrastructure. It handles calculations efficiently, allowing your agents to manage complex financial logic.

The connection is handled through standard secure transport protocols. Your financial information is never exposed to external parties during the evaluation process.

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