How to Use the Mode (Collaborative Data Platform) MCP in Google ADK

Connect Google ADK agents to your Mode workspace to feed live report metadata into Gemini long-context pipelines.

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Connect Mode (Collaborative Data Platform) MCP to Google ADK

Create your Vinkius account to connect Mode (Collaborative Data Platform) 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 (Collaborative Data Platform) with Google ADK

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Extract report metadata for Gemini reasoning

The `get_report` tool retrieves specific analytical parameters and query metadata from a targeted Mode report token. Your Google ADK agent can pass this raw SQL and execution history directly into Gemini's 1M+ token context window. To discover these reports in the first place, the agent runs `list_reports` to compile a full index of your workspace's analytical assets. This MCP server feeds your Google ADK long-context model with the exact structure of your team's business intelligence.

Map enterprise data warehouses with Google ADK

The `list_data_sources` tool lists every active database and data warehouse connector bound to your Mode organization. This allows your Google ADK agent to cross-reference Mode's connections with your native Google Cloud BigQuery datasets. Using `get_space`, the agent determines which Mode collection spaces hold reports connected to specific databases. You can build automated Google ADK pipelines that flag reports querying legacy databases instead of your approved BigQuery warehouse.

Audit workspace spaces and team membership

The `list_spaces` tool scans your Mode workspace to identify isolated collection spaces holding your team's datasets. The Google ADK agent uses this to organize its analytical retrieval paths, targeting only relevant spaces. To ensure team accountability, the agent runs `list_members` to trace which analytical users have access to these Mode spaces. This gives your Gemini agent the context it needs to route analytical summaries to the correct owners.

Setup guide

Set up Mode (Collaborative Data Platform) 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 (Collaborative Data Platform) 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 (Collaborative Data Platform)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mode (Collaborative Data Platform) 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. 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 (Collaborative Data Platform) MCP in Google ADK

Initialize the toolset class using the Vinkius HTTP transport URL. Pass that toolset directly to your agent constructor to instantly expose all 7 analytical tools to Gemini.

Yes, you can use the optional tool name filter in the ADK toolset setup. This lets you restrict access to sensitive tools like member listing while keeping report search open.

The agent runs the data source listing tool to identify which Mode reports pull from BigQuery. This lets you align your cloud data warehouse with your collaborative reports.

Yes, the server supports both Stdio and HTTP transports. You can run it locally or host it on Google Cloud Run depending on your architecture needs.

Yes, Vinkius runs the server in an isolated V8 sandbox. Only the metadata returned by tools like space configurations is processed, and no raw database credentials are ever logged.

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