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How to Use the GoTo Meeting MCP in Google ADK

Connect GoTo Meeting scheduling tools to your Google ADK agent for enterprise coordination.

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Google ADK

Connect GoTo Meeting MCP to Google ADK

Create your Vinkius account to connect GoTo Meeting 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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Long-Context Scheduling with Google ADK

`create_meeting` runs directly inside your Gemini agent loops to schedule enterprise video calls. The agent parses thousands of emails or chat logs in its 1M-token context window to find the perfect meeting time. Once the timing is resolved, the agent calls this tool to generate the calendar link. It passes the resulting metadata straight to your Google Cloud databases for storage.

BigQuery Data Pipelines via MCP Server

`list_meeting_history` lets your Gemini agent pull historical conference logs directly into enterprise analytics pipelines. The agent processes past attendance and duration metrics to optimize internal resource allocation. You can pipe these raw history logs directly into BigQuery tables for SQL analysis. This links your active communication channels with your existing Google Cloud data warehouses.

Organizer Management and Directory Audits

`list_account_organizers` retrieves your entire enterprise host directory for direct matching against IAM policies. Your agent verifies host accounts before assigning them to active scheduling tasks. Combined with `list_meetings`, this tool lets your agent detect orphaned or unassigned video rooms. The agent identifies and flags these anomalies in your Vertex AI monitoring dashboards.

Setup guide

Set up GoTo Meeting 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. 1

    Install Google ADK

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

  2. 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. 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. 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 GoTo Meeting 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="GoTo Meeting_agent",
    model="gemini-2.0-flash",
    instruction="You have access to GoTo Meeting tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoTo Meeting. 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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Common questions about GoTo Meeting MCP in Google ADK

Install the SDK, then initialize `McpToolset` with your HTTP endpoint URL. Pass this toolset directly into your `LlmAgent` constructor under the tools parameter. This exposes the entire suite of scheduling tools to your Gemini model.
Yes, you can pass a `tool_names` array to the toolset configuration to restrict exposure. For example, you can expose only `list_meetings` and `get_meeting_details` if you want a read-only agent. This prevents the model from invoking creation or deletion tools.
Gemini loads hours of raw transcripts or massive text files into its 1M-token window. It then calls `create_meeting` or `get_meeting_details` to coordinate follow-ups based on that deep context. This lets you automate complex scheduling workflows from messy, unstructured corporate data.
The agent uses `delete_meeting` to remove expired or canceled sessions from your organizer accounts. It compares active events against your database records and purges the old ones. This keeps your corporate calendar directory clean and up to date.
The MCP server runs in a secure V8 isolate sandbox on Vinkius, which processes meeting details ephemerally. No history records, organizer lists, or meeting IDs are stored locally on the server. Your Google ADK agent receives the data directly over an encrypted channel to your GCP environment.

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