Where do I obtain my Reclaim API Key?

Log into your Reclaim.ai web application. Head towards 'Settings', select 'Integrations' from the sidebar, and look for 'API' at the bottom of the connected apps. Generate your personal token there and provide it using the setup authorization parameter below.

Does creating a task automatically schedule it on my calendar?

Yes. When the AI uses the `create_task` tool, Reclaim.ai takes your input duration, designated priority (P1 to P4), and due date to contextually slot it securely into an available window on your connected Google or Outlook calendar without extra prompts.

Can I query what was already booked in the past by AI vs manually added?

Yes. The `list_calendar_events` query imports event types accurately across any given time period, allowing the AI to effectively understand both the manual meetings you accepted and the tasks Reclaim auto-negotiated on your schedule.

Reclaim.ai MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Reclaim.ai
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Reclaim.ai as an MCP tool provider through the 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="reclaimai_agent",
    instruction=(
        "You help users interact with Reclaim.ai "
        "using 10 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 Reclaim.ai MCP Server

Connect your Reclaim.ai intelligent scheduling assistant directly to your AI agent. Enabling this integration turns your AI into an advanced executive assistant, capable of instantly scanning your schedule, managing priorities, and inserting new smart tasks into your Google Calendar effortlessly.

Google ADK natively supports Reclaim.ai as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

Smart Task Management — Create, update, or delete dynamic tasks, adjusting their duration and priority while letting Reclaim handle the automated calendar placement.
Habit Tracking — Review your recurring protected time blocks (Habits) scheduled to accommodate deep work, routines, and breaks.
Calendar Review — List both manual and AI-scheduled events for specific date ranges to understand your true availability.
Scheduling Links — Retrieve your shareable booking page URLs instantly to send to teammates or clients directly from chat.
Time Analytics — Extract quantitative data tracking how you allocate focus across categories over customized ranges.

The Reclaim.ai MCP Server exposes 10 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 Reclaim.ai to Google ADK via MCP

Follow these steps to integrate the Reclaim.ai 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 10 tools from Reclaim.ai via MCP

Why Use Google ADK with the Reclaim.ai MCP Server

Google ADK provides unique advantages when paired with Reclaim.ai 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 Reclaim.ai

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 Reclaim.ai tools with BigQuery, Vertex AI, and Cloud Functions

Reclaim.ai + Google ADK Use Cases

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

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

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

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

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

Reclaim.ai MCP Tools for Google ADK (10)

These 10 tools become available when you connect Reclaim.ai to Google ADK via MCP:

create_task

Specify title, duration in minutes, due date, and priority (P1 to P4). Creates a new task to be auto-scheduled by Reclaim.ai

delete_task

This action is irreversible. Deletes a task from Reclaim.ai

get_analytics

Retrieves time analytics for a specific date range

get_current_user

Retrieves the authenticated user profile

get_task

Retrieves details for a specific Reclaim.ai task

list_calendar_events

Lists all events on the Reclaim.ai planner for a date range

list_habits

Lists all habits configured in Reclaim.ai

list_scheduling_links

Lists all Reclaim.ai scheduling links

list_tasks

You can filter by status (NEW, SCHEDULED, IN_PROGRESS, COMPLETE). Lists all tasks managed by Reclaim.ai

update_task

Provide a JSON object with the updates. Updates an existing Reclaim.ai task

Example Prompts for Reclaim.ai in Google ADK

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

"Create a new task to draft the Q3 analytics report taking 3 hours with P1 priority."

"Delete task with ID 20392."

"Show my time spent analytics between 2024-01-01 and 2024-01-31."

Troubleshooting Reclaim.ai MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Reclaim.ai + Google ADK FAQ

Common questions about integrating Reclaim.ai 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.