How to Use the Zoho Notebook MCP in Pydantic AI

Q: What are the steps to manage notebooks with Zoho Notebook using Pydantic AI?

Start by getting a list of all IDs via listnotebooks. Then, use those IDs to call other functions like createnotebook or getnotebook in sequence.

Q: If I need to find notes across multiple notebooks using Zoho Notebook and Pydantic AI, what's the process?

First, you run listnotebooks to get all IDs. Then, your agent can iterate through those IDs, calling searchnotecards for each one until it finds everything it needs.

Q: Can I delete a note using Zoho Notebook and Pydantic AI?

Yes. You use the dedicated deletion tools: deletenotebook removes the container, and deletenotecard removes individual notes inside it. These actions are type-checked before execution.

Build type-safe systems that manage notes reliably using Pydantic AI.

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Connect Zoho Notebook MCP to Pydantic AI

Create your Vinkius account to connect Zoho Notebook 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 Notebook with Pydantic AI

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List and Identify Notebooks

The `list_notebooks` tool pulls all notebook IDs. This provides the necessary input for nearly every other function, like fetching notecards or searching for content. This upfront list ensures your agent knows exactly what containers are available before it tries to read or write anything.

Create and Retrieve Notecard Details

You use `create_notecard` when you need a new note. To verify its existence later, the agent calls `get_notecard`, which returns the structured data based on an ID. Because of Pydantic validation, if the API spits out unexpected fields, your process fails loud and clear—no silent corruption.

Search Notes Within a Defined Notebook

When you need to find something specific, `search_notecards` is the tool. It requires a notebook ID to scope its search results. This type of focused retrieval means your agent gets clean, predictable data that matches your defined Pydantic models.

Setup guide

Set up Zoho Notebook 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-notebook-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Zoho Notebook MCP in Pydantic AI

The framework enforces type-safety on all responses. When calling tools like `get_notecard`, the data returned is validated against your schema, ensuring you get predictable objects.

Start by getting a list of all IDs via `list_notebooks`. Then, use those IDs to call other functions like `create_notebook` or `get_notebook` in sequence.

First, you run `list_notebooks` to get all IDs. Then, your agent can iterate through those IDs, calling `search_notecards` for each one until it finds everything it needs.

Yes. You use the dedicated deletion tools: `delete_notebook` removes the container, and `delete_notecard` removes individual notes inside it. These actions are type-checked before execution.

This server manages structured note data, specifically handling notebook IDs and notecards. The agent validates these ID structures to guarantee data integrity when reading or writing.

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