How to Use the MakePlans MCP in Google ADK

Connect your Google ADK enterprise infrastructure to MakePlans and automate scheduling with Gemini-powered reasoning.

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Connect MakePlans MCP to Google ADK

Create your Vinkius account to connect MakePlans 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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Setup MakePlans with Google ADK

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Direct Scheduling with Google ADK

Your agents can now directly interact with your calendar data. Using `create_booking` allows your LLM to place appointments into your system based on complex user requests. This bypasses manual input entirely. The agent validates the request against the current state before committing the change.

Intelligent Slot Filtering

Your agent uses `list_available_slots` to handle scheduling conflicts in real-time. It analyzes your `list_services` output to match the right service to the right time. It performs this check instantly. The agent ensures that no booking is attempted unless the slot is confirmed available by the API.

Enterprise Resource Management

Manage your staff and equipment via `list_people` and `list_resources`. Your agent gains total awareness of what is available and who is working. This data informs every decision the agent makes. By calling `get_resource`, it can verify specific equipment availability before confirming a booking.

Setup guide

Set up MakePlans 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

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
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

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

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 MakePlans 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="MakePlans_agent",
    model="gemini-2.0-flash",
    instruction="You have access to MakePlans tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MakePlans. 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.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MakePlans MCP in Google ADK

Yes, you use the McpToolset class to bridge the connection. It integrates with your existing Google Cloud infrastructure for a unified agent experience.

You can run the server locally for development. Just point the McpToolset at your local endpoint and start testing your agents.

It is straightforward. Provide the URL and the toolset is ready. Most developers have it running in minutes.

Pass a list of tool names to the toolset configuration. This limits the agent to only the tools you authorize it to use.

Data is processed in-memory during the agent's turn. We do not persist your scheduling records or customer details on our servers.

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