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How to Use the Zoho Invoice MCP in Google ADK

Connect Zoho Invoice data to BigQuery using the Google ADK for enterprise AI reasoning on Google Cloud.

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Google ADK

Connect Zoho Invoice MCP to Google ADK

Create your Vinkius account to connect Zoho Invoice to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Accessing and Listing Customer Accounts

The agent can pull all contact information from your system using `list_contacts`, or deep-dive into a single client's records with `get_contact`. This data flow is ideal for feeding customer profiles directly into BigQuery for complex analysis. It also lets you provision new users by running `create_contact` and ensures cleanup happens when clients leave via `delete_contact`.

Running Zoho Invoice Processes with Google ADK

You can generate invoices using the `create_invoice` tool. If you need to adjust line items—maybe a discount was missed—you call `update_invoice_items`. The system also lets you retrieve existing bills via `get_invoice`. The agent supports full cycle management, allowing it to list all past invoices (`list_invoices`) and delete them when necessary.

Enterprise MCP Server Data Management

This MCP Server is built for robust data handling. It lets you manage the entire scope of records—you can `delete_invoice` if a bill was issued incorrectly, or even update existing customer details using `update_contact`. The goal is to make sure all your source accounting data is available to Vertex AI.

Setup guide

Set up Zoho Invoice 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Zoho Invoice 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="Zoho Invoice_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Zoho Invoice tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zoho Invoice. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Zoho Invoice MCP in Google ADK

The agent reads and processes invoice data by calling `list_invoices` or fetching specific bills via `get_invoice`. This structured output is perfect for feeding into long-context models in Vertex AI.
Yes, it covers the whole scope. You use tools like `create_contact` for setup, and then you can follow that up with creating a bill using `create_invoice`. It’s designed to manage related data types.
You use the MCP Server tools like `list_contacts` and `get_contact` to pull structured customer data. This data can then be ingested into BigQuery for advanced modeling.
The framework provides a safe environment, allowing your agents to read and write financial records like invoice amounts and customer names. The interaction is controlled by explicit tool definitions.
This server touches contact details, specifically customer IDs, full names, billing addresses, and monetary values associated with invoices. All operations are logged for auditing in Google Cloud.

Start using the Zoho Invoice MCP today

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