How to Use the Mode Analytics MCP in Google ADK

Q: How do I list spaces in Mode Analytics using Google ADK?

Add the MCP toolset to your agent instance. Then invoke listmodespaces to pull a current list of all available workspaces.

Q: Does Google ADK support real-time Mode Analytics updates?

It does. You can trigger a new run via runmodereport and watch the status change in real time.

Q: Can I filter which Mode Analytics tools Google ADK sees?

Yes, use the toolnames filter during setup. This lets you restrict your agent to only specific operations like listmodereports.

Connect your Google ADK agents to Mode Analytics to bridge your enterprise data and LLM reasoning.

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Connect Mode Analytics MCP to Google ADK

Create your Vinkius account to connect Mode Analytics 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 Mode Analytics with Google ADK

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Google ADK agents accessing Mode Analytics

Your agent lists your entire catalog using `list_mode_reports`. It identifies the right dashboard for the task without human intervention. Grab specific report details using `get_mode_report`. Your agent parses the metadata to understand if the data matches your current business requirements.

Triggering report runs with Google ADK

Use `run_mode_report` to refresh stale metrics in real time. It pushes the execution command to the server and returns a unique run token. Monitor the status of your jobs using `get_mode_report_run`. Your agent keeps tabs on the execution and reports back once the data is ready.

Audit your Mode Analytics environment

Pull the list of active users with `list_mode_members`. This ensures your agent knows exactly who owns which part of the data stack. Get account context with `get_mode_account`. This confirms your agent is operating within the correct production or staging workspace.

Setup guide

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

Add the MCP toolset to your agent instance. Then invoke `list_mode_spaces` to pull a current list of all available workspaces.

It does. You can trigger a new run via `run_mode_report` and watch the status change in real time.

You pass the authentication tokens to the server configuration. The agent uses these to authenticate every request made through the MCP protocol.

Yes, use the tool_names filter during setup. This lets you restrict your agent to only specific operations like `list_mode_reports`.

The server fetches fresh data on every request. Your agent always works with the latest report state provided by the API.

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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