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How to Use the Zoho Invoice MCP in OpenAI Agents SDK

Build automated billing workflows with the Zoho Invoice MCP Server using OpenAI Agents SDK.

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OpenAI Agents SDK

Connect Zoho Invoice MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zoho Invoice to OpenAI Agents SDK 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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Creating Invoices via Zoho Invoice MCP Server

Call `create_new_invoice` to generate a new bill instantly. You supply the invoice details in a JSON body, and your agent executes the creation across Zoho Invoice. Need to track down specific billing records? Use `list_invoices` to get an organization's list of all paid and unpaid invoices.

Retrieving Billing Details with OpenAI Agents SDK

To check on a specific bill, invoke `get_invoice_details`, passing the required invoice ID. This pulls everything you need about that single invoice. Also grab customer data with `list_invoice_contacts`. It gives your agent access to all stored customer profiles.

Managing Zoho Invoice Estimates and Items

Run `list_estimates` when you need a quote summary for the organization. This tool pulls every available estimate or quote. If you're building an item catalog, use `list_invoice_items`. It lists all products and services that can be billed.

Setup guide

Set up Zoho Invoice MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Zoho Invoice tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Zoho Invoice tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Zoho Invoice tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Zoho Invoice Agent",
            instructions="You have access to Zoho Invoice tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 OpenAI Agents SDK

You simply call the `list_invoices` tool. Your agent fetches a complete, paginated list of all organizational invoices available in your Zoho Invoice account.
You call `create_new_invoice` and pass the required JSON body. The agent ensures the data structure is correct before sending it to Zoho Invoice for immediate creation.
Yes, use `list_invoice_contacts`. This function pulls all customer records from your organization's contact database in Zoho Invoice. It’s great for verifying who you’re billing.
This MCP Server manages core financial components, specifically invoices, estimates, contacts, and billable items.
Absolutely. The client uses built-in guardrails that validate every action before execution. You're building a deployed product here, not just some quick prototype.

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