Can the agent interact with specific individual tasks within my notes?

Yes. Amplenote's integration treats tasks as distinct manageable objects. You can not only list the pending items inside a note but also ask the agent to complete them, update their content, or inject an entirely new to-do row directly inside.

How does searching work across hundreds of deeply tagged notes?

The integration utilizes Amplenote's robust search protocol. You simply tell the agent to 'find notes containing strategy tagged with #work/2026', and it will parse your complex nested structures efficiently without blindly guessing.

Can I trust the AI agent to update existing notes without wiping the rest of the text?

Absolutely. Under the hood, the integration exposes granular update capabilities where the agent carefully dictates new structural alterations. It will append or replace specific regions accurately without overwriting unrelated brainstorming details.

Amplenote MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: Amplenote
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Amplenote as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="amplenote_agent",
    instruction=(
        "You help users interact with Amplenote "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Amplenote MCP Server

Connect your Amplenote account to any AI agent to fuse your personal knowledge base and task manager directly into your daily computational workflows.

Google ADK natively supports Amplenote as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Notes & Ideas — Read, create, list, and natively search your entire note library to pull exact context into your AI conversations seamlessly.
Task Execution — Query specific pending to-dos, update task states, or rapidly create new tasks within specific notes without leaving the chat.
Tag Management — Dynamically list and analyze the tag hierarchy of your Amplenote system, keeping the AI aware of your organizational framework.
Action Tracking — Instruct the agent to invoke native Amplenote actions, maintaining deep synchronization between the AI and your existing mental models.

The Amplenote MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Amplenote to Google ADK via MCP

Follow these steps to integrate the Amplenote MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from Amplenote via MCP

Why Use Google ADK with the Amplenote MCP Server

Google ADK provides unique advantages when paired with Amplenote through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Amplenote

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Amplenote tools with BigQuery, Vertex AI, and Cloud Functions

Amplenote + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Amplenote MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Amplenote and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Amplenote tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Amplenote regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Amplenote

Amplenote MCP Tools for Google ADK (12)

These 12 tools become available when you connect Amplenote to Google ADK via MCP:

create_note

Use for adding documentation, meeting notes, or project plans. Create a new note with a title and Markdown body content

create_task

Tasks in Amplenote live inside notes and have due dates, priorities, and completion tracking. Use for adding actionable items. Create a new task

delete_note

Permanently delete a note by UUID

get_note

Essential for reading or analyzing a specific document. Retrieve the full content and metadata of a specific note by UUID

get_note_actions

Use to discover what operations can be performed on a note. Retrieve available actions for a specific note

get_task

Use to inspect or update a single task. Retrieve a specific task by its ID

list_notes

Use as the primary way to browse the entire knowledge base. List all notes in the Amplenote workspace

list_tags

Returns tag names and usage counts. Use to discover the knowledge taxonomy. List all tags used across notes and tasks

list_tasks

Returns task content, completion status, due dates, and parent note references. Use for task management overview. List all tasks across all notes

search_notes

Use when the user wants to find content by keyword. Full-text search across all Amplenote notes and tasks

update_note

Use for editing content, fixing errors, or appending information. Update an existing note title and/or Markdown body by UUID

update_task

Use for task progress tracking and management. Update a task content, completion status, or other properties

Example Prompts for Amplenote in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Amplenote immediately.

"Create a new note titled 'Project Alpha Planning' and assign it the tag '#work/projects'."

"Search my Amplenote vault for all active tasks containing the word 'Budget'."

"Get the content of my 'Weekly Sync' note."

Troubleshooting Amplenote MCP Server with Google ADK

Common issues when connecting Amplenote to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Amplenote + Google ADK FAQ

Common questions about integrating Amplenote MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.