Are organizational channels safely isolated when using programmatic executions?

Yes. The AI intrinsically utilizes `list_channels` and `list_contexts` effectively to accurately parse pre-existing frameworks before assignment seamlessly.

Can the agent inadvertently destroy historical tracking via deletion?

The tool bounds the logic reliably using isolated mutation calls like `delete_task`. These are triggered explicitly, protecting chronological historical records systematically effectively internally.

Does the integration sync with external calendars like Google Calendar?

The MCP operates through the Sunsama API, which already consolidates events from Google Calendar, Outlook, and other connected services. Tasks you create or update via the AI will appear alongside your synced calendar events.

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

Name: Sunsama
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 Sunsama 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="sunsama_agent",
    instruction=(
        "You help users interact with Sunsama "
        "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 Sunsama MCP Server

Integrate the mindful focus of the Sunsama daily planner directly into your conversational AI environment. Empower your engineering or administrative focus by allowing your LLM to intuitively pull tasks, filter backlog activities, and assign contexts dynamically without constant tab-switching. With this MCP connector attached securely to your workspace, your conversational agent functions as an objective scheduling assistant, seamlessly tracking and resolving your agenda.

Google ADK natively supports Sunsama 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

Agenda Discovery — Query your scheduled events actively using list_tasks and retrieve deep contextual dependencies of an item utilizing get_task_details.
Task Orchestration — Add new action items seamlessly via create_task or modify ongoing assignments intuitively using update_task.
Taxonomy Mapping — Review your organizational frameworks executing list_channels and list_contexts to accurately file items according to team domains.
Profile Confirmations — Safely extract your user metadata boundaries and operational statuses natively invoking get_user_profile.

The Sunsama 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 Sunsama to Google ADK via MCP

Follow these steps to integrate the Sunsama 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 Sunsama via MCP

Why Use Google ADK with the Sunsama MCP Server

Google ADK provides unique advantages when paired with Sunsama 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 Sunsama

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 Sunsama tools with BigQuery, Vertex AI, and Cloud Functions

Sunsama + Google ADK Use Cases

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

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

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

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

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

Sunsama MCP Tools for Google ADK (8)

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

create_task

Provide text and an optional planned date. Creates a new task in Sunsama

delete_task

This action is irreversible. Permanently deletes a task

get_task_details

Retrieves details for a specific task

get_user_profile

Retrieves the current user profile

list_channels

g., "Work", "Personal"). Lists available Sunsama channels

list_contexts

Lists available Sunsama contexts

list_tasks

You can filter by date. Lists all tasks in Sunsama

update_task

Updates an existing task

Example Prompts for Sunsama in Google ADK

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

"List my tasks for today, complete the design review, and schedule a documentation update for next Monday."

"Read my custom organizational domains running `list_channels` securely, and pull contextual details applying `list_contexts` effectively."

"Verify my identity token evaluating the API user profile comprehensively."

Troubleshooting Sunsama MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Sunsama + Google ADK FAQ

Common questions about integrating Sunsama 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.