How to Use the Zoho Notebook MCP in OpenAI Agents SDK

Q: How can I search for notes specifically within Zoho Notebook using the OpenAI Agents SDK?

You use the searchnotecards tool. You must pass a notebook ID to this tool, which directs your agent to scope the search correctly and pull relevant cards.

Q: What is the best way to manage notebooks with Zoho Notebook using the OpenAI Agents SDK?

You should start by calling listnotebooks to get a full inventory of IDs. Then, you can use those returned IDs to build out your next steps, like creating new containers or fetching details.

Q: If I need to change an old note in Zoho Notebook using the OpenAI Agents SDK, what tool do I call?

You'll use updatenotecard. This function requires both a notecard ID and the new data payload. It replaces the existing content entirely.

Build production systems that manage notes reliably using the OpenAI Agents SDK.

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Connect Zoho Notebook MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zoho Notebook 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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Setup Zoho Notebook with OpenAI Agents SDK

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Manage Notebook Structures

The `list_notebooks` tool retrieves all available notebook IDs. From those IDs, your agent can then call `get_notebook` to pull full details about the structure. It's perfect for initial setup steps. You don't have to manually track every container ID; just ask the agent to list them and proceed.

Create and Update Notecards

Need a new piece of info captured? Use `create_notecard` to make it immediately. If you need to change something later, `update_notecard` lets your agent modify existing content without having to delete and recreate the whole card. Remember that both creating and updating require specific identifiers, which is handled automatically when calling these functions.

Search Notes Within Specific Notebooks

Instead of listing every single note, use `search_notecards`. This tool requires a notebook ID to scope the search. Your agent filters out the noise and pulls only the cards relevant to that specific project. This mechanism is much faster than using `list_notecards` followed by manual filtering in your code.

Setup guide

Set up Zoho Notebook 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

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

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 Notebook tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Zoho Notebook tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Zoho Notebook 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 Notebook Agent",
            instructions="You have access to Zoho Notebook tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Zoho Notebook MCP in OpenAI Agents SDK

You use the `search_notecards` tool. You must pass a notebook ID to this tool, which directs your agent to scope the search correctly and pull relevant cards.

The server handles structured note data, allowing you to create, read, update, and delete notecards. The agent framework ensures that the inputs match the expected format before sending them.

You should start by calling `list_notebooks` to get a full inventory of IDs. Then, you can use those returned IDs to build out your next steps, like creating new containers or fetching details.

You'll use `update_notecard`. This function requires both a notecard ID and the new data payload. It replaces the existing content entirely.

This server manages structured note data, specifically handling notebook IDs and individual notecards. The agent only accesses these ID structures to perform its actions.

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