How to Use the Zoho Invoice MCP in Pydantic AI

Q: How do I list contacts in Zoho Invoice using Pydantic AI?

Use the listcontacts tool. It provides names, IDs, emails, and current outstanding balances for all your customers.

Q: Can I list all payments received for Zoho Invoice using Pydantic AI?

Yes, running listpayments provides immediate access to customer payment history. This is essential data for cash flow reconciliation.

Q: How do I check the status of invoices and estimates in Zoho Invoice with Pydantic AI?

You use two tools: listinvoices or listestimates. Both let you filter results by statuses such as 'sent', 'overdue', or 'declined'.

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Connect Zoho Invoice MCP to Pydantic AI

Create your Vinkius account to connect Zoho Invoice to Pydantic AI 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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Setup Zoho Invoice with Pydantic AI

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Get Contact Details

The agent uses `list_contacts` to list all customers, optionally searching by name. It returns names, IDs, emails, and outstanding balances. The agent can also fetch full details for a single contact using `get_contact` when you know the specific ID.

Handle Billing Cycles

To generate an invoice, the agent runs `create_invoice`. You must provide the customer ID and at least one line item with a name and rate; it creates the document as 'Draft'. The system tracks quotes using `list_estimates`, letting you filter by status like 'invoiced' or 'accepted'.

Review Financial Transactions

You check payments received with `list_payments`. This function is key for tracking cash flow and making sure your accounts match up. You can also get a full rundown of all billing events by calling `list_invoices`, which allows filtering by status like 'overdue' or 'paid'.

Setup guide

Set up Zoho Invoice MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "zoho-invoice-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Zoho Invoice tools.",
)

result = await agent.run("List recent Zoho Invoice transactions")
print(result.output)

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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 Pydantic AI

Use the `list_contacts` tool. It provides names, IDs, emails, and current outstanding balances for all your customers.

You need two things: a customer ID and at least one line item that has both a name and a rate. The resulting document always starts as a draft.

Yes, running `list_payments` provides immediate access to customer payment history. This is essential data for cash flow reconciliation.

You use two tools: `list_invoices` or `list_estimates`. Both let you filter results by statuses such as 'sent', 'overdue', or 'declined'.

When listing invoices, this server accesses structured accounting records, specifically `invoice details`. This includes numbers, amounts, dates, and customer information.

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