Why can't the agent read my task names?

Lunatask uses end-to-end encryption. Task names and note bodies are encrypted on your device before being sent to the server. The API only has access to metadata like IDs and statuses.

Where do I find my Area ID?

In the Lunatask desktop app, go to an Area's settings. The unique Area ID (UUID) is displayed there for use in the API.

Can I track habits using this agent?

Yes, use the `track_habit_completion` tool with the unique habit ID to log a successful completion event.

Lunatask MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Lunatask
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Lunatask 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="lunatask_agent",
    instruction=(
        "You help users interact with Lunatask "
        "using 8 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 Lunatask MCP Server

Connect your Lunatask account to any AI agent to streamline your privacy-focused productivity. This MCP server enables your agent to create, update, and manage tasks, track habits, and log journal entries directly from natural language interfaces.

Google ADK natively supports Lunatask as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

Task Creation — Add new tasks to specific Areas of Life with statuses like 'next' or 'later'
Habit Tracking — Log completions for your daily habits to stay consistent with your goals
Encrypted Journaling — Create secure, end-to-end encrypted journal entries directly from your conversation
Metadata Inspection — List all tasks and notes to monitor your productivity structure and statuses
Workflow Management — Update task priorities and move them through your personal workflow stages

Important Note on Privacy

Lunatask uses end-to-end encryption. While this API allows creating and updating content, it cannot read back the names or notes of your tasks once they are stored. The agent will only see technical metadata (IDs, dates, statuses).

The Lunatask MCP Server exposes 8 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 Lunatask to Google ADK via MCP

Follow these steps to integrate the Lunatask 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 8 tools from Lunatask via MCP

Why Use Google ADK with the Lunatask MCP Server

Google ADK provides unique advantages when paired with Lunatask 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 Lunatask

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 Lunatask tools with BigQuery, Vertex AI, and Cloud Functions

Lunatask + Google ADK Use Cases

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

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

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

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

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

Lunatask MCP Tools for Google ADK (8)

These 8 tools become available when you connect Lunatask to Google ADK via MCP:

create_journal_entry

Add a new journal entry

create_new_task

Requires a name and an area_id. Create a new task

delete_task

Delete a task

get_task_metadata

Get metadata for a specific task

list_notes_metadata

List metadata for all notes

list_tasks_metadata

Note: Due to encryption, names and notes are not available via API. List metadata for all tasks

track_habit_completion

Log a completion for a habit

update_existing_task

Update an existing task

Example Prompts for Lunatask in Google ADK

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

"List metadata for all my tasks in Lunatask."

"Track a completion for habit ID 'habit-123'."

"Create a new task named 'Review quarterly report' in area 'area-abc'."

Troubleshooting Lunatask MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Lunatask + Google ADK FAQ

Common questions about integrating Lunatask 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.