How to Use the Bevy Community MCP in Google ADK

Q: Does Google ADK support filtering Bevy Community tool access?

You can use the toolnames filter to restrict which functions your agent can call. This limits the server's reach to only what your project requires.

Connect Bevy Community to Google ADK to process event data within your Gemini-powered enterprise workflows.

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Connect Bevy Community MCP to Google ADK

Create your Vinkius account to connect Bevy Community 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 Bevy Community with Google ADK

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Analyze Bevy Community events with Google ADK

Your agent uses `list_events` to feed community activity into your BigQuery data warehouse. It allows for deep analysis of event trends using Gemini's long-context reasoning. Call `get_event_counts` to generate periodic reports on community health. Your agent manages these requests on a schedule, providing updates without manual intervention.

Query chapters using Google ADK tools

The `search_chapters` tool lets your agent find specific communities across the globe. It bridges the gap between your Google Cloud infrastructure and your community data. Use `list_user_chapters` to confirm member access rights. This ensures your agent only performs operations on chapters the authenticated user belongs to.

Sync event metadata in Google ADK

Fetch available event categories using `list_event_types` to standardize your database schemas. This keeps your records consistent as you scale your community efforts. `list_event_attendees` provides the granular detail needed for targeted outreach. Your agent acts on this information to trigger downstream processes within your cloud environment.

Setup guide

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

Use the McpToolset class with your server URL. It exposes the tools to your LlmAgent, allowing seamless interaction with your cloud-based data.

You can use the tool_names filter to restrict which functions your agent can call. This limits the server's reach to only what your project requires.

The server supports both Stdio and HTTP transports. Pick the one that fits your Google Cloud deployment architecture.

Gemini handles the high-volume data returned by these tools. You can process extensive attendee lists without hitting context limits.

The server uses token-based authentication to prevent unauthorized access. We protect the privacy of your attendee email addresses by ensuring they are only processed inside your private, authenticated agent session.

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