How to Use the meetergo MCP in Google ADK

Q: How do I set up meetergo within a Google ADK project?

Install the SDK, then initialize the McpToolset with your Vinkius HTTP endpoint. Pass the toolset directly to your LlmAgent to let Gemini discover endpoints like listbookings automatically.

Q: Can my Google ADK agent write meetergo data to BigQuery?

Yes. Your agent can fetch booking details using getbooking or listbookings, format the JSON payload, and stream those records directly into your BigQuery tables for real-time reporting.

Q: How do I restrict Google ADK from accessing specific meetergo tools?

You can use the optional toolnames filter when initializing your McpToolset. This lets you hide administrative tools like cancelbooking while keeping discovery tools like listmeetingtypes active.

Q: Does Google ADK support real-time availability checks via meetergo?

It does. The agent calls getavailability dynamically during a conversation, matching the user's requested time against your team's real-time calendar status to prevent double-bookings.

Connect the meetergo MCP Server to Google ADK to build enterprise scheduling agents backed by BigQuery data and Gemini's reasoning.

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Connect meetergo MCP to Google ADK

Create your Vinkius account to connect meetergo 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 meetergo with Google ADK

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Enterprise calendar routing using Google ADK

Large sales teams have complex routing rules stored in BigQuery. By combining Google ADK with the meetergo MCP Server, your agent can query your data warehouse for high-value accounts, then immediately pull the correct rep's details using `get_user`. It ensures your best accounts always go to the right people. Once the account executive is identified, the agent uses `get_availability` to find their next open slot. Gemini's massive context window lets the agent analyze months of historical scheduling data to pick the absolute best time for a high-priority demo.

Context-aware booking management with Gemini

Stop losing leads to slow scheduling follow-ups. The agent uses `list_meeting_types` to match the prospect's intent with the correct meeting template. It then triggers `create_booking` to lock in the time, passing custom fields parsed directly from your CRM. If a customer needs to reschedule, the agent retrieves the active meeting info via `get_booking`. It processes the cancellation using `cancel_booking` and instantly books a new slot, keeping your Google Cloud databases in sync.

High-volume team availability checks via MCP Server

Managing availability for hundreds of reps is a massive data challenge. Your Google ADK agent can call `list_availability` to ingest calendar data for entire departments in a single turn. It filters this data against your active user directory retrieved from `list_users`. To maintain system reliability under heavy enterprise traffic, the agent runs `check_meetergo_status` before processing batch operations. This ensures your automated scheduling pipeline never stalls due to API downtime.

Setup guide

Set up meetergo 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 meetergo 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="meetergo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to meetergo 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 meetergo. 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.

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Common questions about meetergo MCP in Google ADK

Install the SDK, then initialize the `McpToolset` with your Vinkius HTTP endpoint. Pass the toolset directly to your `LlmAgent` to let Gemini discover endpoints like `list_bookings` automatically.

Yes. Your agent can fetch booking details using `get_booking` or `list_bookings`, format the JSON payload, and stream those records directly into your BigQuery tables for real-time reporting.

You can use the optional `tool_names` filter when initializing your `McpToolset`. This lets you hide administrative tools like `cancel_booking` while keeping discovery tools like `list_meeting_types` active.

It does. The agent calls `get_availability` dynamically during a conversation, matching the user's requested time against your team's real-time calendar status to prevent double-bookings.

Your meetergo calendar records and user profiles are completely isolated. Vinkius executes the MCP Server in an ephemeral, zero-trust sandbox, meaning Google ADK never handles your raw API credentials directly.

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