How to Use the Common Room MCP in Google ADK

Q: Does Google ADK support filtering Common Room tools?

It does. You can use the toolnames filter to limit which functions your agent can trigger. This keeps your agent focused on specific tasks.

Connect Common Room to Google ADK to power your enterprise agents with community intelligence.

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Connect Common Room MCP to Google ADK

Create your Vinkius account to connect Common Room 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 Common Room with Google ADK

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Analyze community segments in Google ADK

Use `list_segment_members` to feed user groups into your Gemini long-context window. Your agent parses thousands of members in a single pass. `get_segment_status` provides the member count for your reporting. You can now build automated triggers based on segment growth.

Retrieve member intelligence for Google ADK

Your agent queries `get_contact_tags` to understand member behavior. It then adjusts the response tone based on community standing. `get_contact_by_email` pulls the full profile into your Google Cloud agent. You can build complex reasoning chains on top of this data.

Query organizations with Google ADK

The `search_organizations` tool allows your agent to find accounts within the Common Room platform. It maps these organizations to your BigQuery datasets. `get_organization_details` provides the specific metadata required for enterprise targeting. Your agent uses this to refine its outreach strategy.

Setup guide

Set up Common Room 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 Common Room 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="Common Room_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Common Room tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Common Room MCP in Google ADK

Use the McpToolset class provided by the framework. Point it at your Vinkius server URL and pass it to your LlmAgent instance.

It does. You can use the tool_names filter to limit which functions your agent can trigger. This keeps your agent focused on specific tasks.

Absolutely. Once your agent pulls the data, you can pipe it into your Google Cloud infrastructure for long-term analysis.

The server supports both HTTP and Stdio transports. You pick the transport that fits your deployment environment.

We enforce strict isolation at the Vinkius sandbox level. The agent only receives the specific email records you explicitly request.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

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