How to Use the Accelevents MCP in Google ADK

Q: Can I filter the Accelevents tools inside Google ADK?

You can use the toolnames filter when initializing the McpToolset. This restricts your agent to only the tools you need, minimizing noise and keeping your costs predictable.

Q: How does Google ADK handle Accelevents session data?

The listsessions tool returns the schedule directly to the agent. Because Gemini models handle long contexts well, you can feed entire conference agendas in without losing track of details.

Bring Accelevents data into your Google ADK agents for deep reasoning and cloud-scale event planning.

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Connect Accelevents MCP to Google ADK

Create your Vinkius account to connect Accelevents 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 Accelevents with Google ADK

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Query Accelevents events with Google ADK

Your agent uses `list_events` to catalog all active or upcoming events. It works natively within your Google Cloud stack to provide high-level context to your Gemini models. This setup allows your agent to hold massive event logs in its 1M+ token context window. It makes sense of your entire event calendar in one pass.

Map attendee data using MCP Server

Use `list_attendees` to pull participant lists into your BigQuery-connected agent. It prepares your data for complex analytics or automated attendee outreach. This tool bridges the gap between your event platform and your cloud infrastructure. You get clean, ready-to-use data for your machine learning pipelines.

Sync exhibitor lists for Google ADK

Call `list_exhibitors` to get a structured view of every company at your event. Your agent can then reason about exhibitor placement or lead generation goals. It removes the friction of manual data entry. Everything happens inside your agent's execution loop, keeping your workflow centralized on Google Cloud.

Setup guide

Set up Accelevents 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 Accelevents 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="Accelevents_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Accelevents 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 Accelevents. 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 Accelevents MCP in Google ADK

Absolutely. Use the McpToolset class to import the server into your LlmAgent. It supports both Stdio and HTTP transports, so it fits right into your existing Google Cloud architecture.

You can use the tool_names filter when initializing the McpToolset. This restricts your agent to only the tools you need, minimizing noise and keeping your costs predictable.

The `list_sessions` tool returns the schedule directly to the agent. Because Gemini models handle long contexts well, you can feed entire conference agendas in without losing track of details.

Your tokens are never logged or stored by Vinkius. The MCP Server acts as a pass-through, and your Google ADK agent manages the secure connection to the API.

Your attendee names and ticket details are encrypted during transit. The environment is zero-trust, meaning your event data is never cached or exposed to other agents.

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