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How to Use the Notesnook (Private Note Taking & E2EE) MCP in Google ADK

Feed your Gemini enterprise agents encrypted vault data using Google ADK and Notesnook.

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Connect Notesnook (Private Note Taking & E2EE) MCP to Google ADK

Create your Vinkius account to connect Notesnook (Private Note Taking & E2EE) 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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Analyze Private Vaults with Google ADK

The `list_notes` tool fetches encrypted note IDs from your secure Notesnook vault. When running Gemini models with massive token windows, your agent can pull hundreds of note references at once to map out entire knowledge bases. You initialize this toolset using `McpToolset` pointing to your Vinkius HTTP transport URL. Pass the toolset directly to your `LlmAgent` to let Gemini handle the discovery process.

Targeted Notebook Queries for Enterprise Data

The `list_notebooks` tool lists the boundary organizing notebooks that span your encrypted vault. This allows your Google ADK agent to match private note structures against enterprise data tables in BigQuery. By using the `tool_names` filter, you can restrict the agent to only read notebook structures. This prevents Gemini from editing or deleting items when it only needs to run analytical queries.

Manage Vault Trash via MCP Server

The `list_trash` tool identifies tracking records that are physically slated for permanent erasure from your vault. Your agent checks this trash bin before performing syncs to ensure no discarded files are recovered. If an agent determines a note is no longer needed, it runs `delete_note` to destroy the node logic. This action is permanently recorded in your Vertex AI execution logs.

Setup guide

Set up Notesnook (Private Note Taking & E2EE) 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 Notesnook (Private Note Taking & E2EE) 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="Notesnook (Private Note Taking & E2EE)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Notesnook (Private Note Taking & E2EE) 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 Notesnook. 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 Notesnook (Private Note Taking & E2EE) MCP in Google ADK

Run `pip install google-adk` first. Then, initialize `McpToolset` with your Vinkius HTTP endpoint to connect the MCP Server to your `LlmAgent`.
Yes, you can use the `tool_names` parameter inside `McpToolset` to filter the exposed tools. For example, you can limit the agent to `list_notes` and `get_note` while blocking deletion tools.
Yes, this MCP Server works perfectly with Gemini's 1M+ token window. Your agent can ingest metadata from thousands of notes returned by `list_notes` in a single prompt.
Your agent runs `sync_items` to pull encrypted binary objects based on your last synchronization timestamp. This ensures Gemini has the absolute latest version of your notes.
Encryption happens completely end-to-end; only encrypted cipher payloads and binary metadata touch the network. The Vinkius sandbox executes the server code in an isolated environment, ensuring your raw text content remains invisible to Google Cloud.

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