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How to Use the DBeaver (CloudBeaver) MCP in Google ADK

Connect your enterprise Gemini agents to CloudBeaver databases using the Google ADK for long-context schema analysis.

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Connect DBeaver (CloudBeaver) MCP to Google ADK

Create your Vinkius account to connect DBeaver (CloudBeaver) 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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Analyze CloudBeaver Drivers with Google ADK

The `get_driver_list` tool pulls the complete roster of database drivers supported by your CloudBeaver server into your Google ADK agent. Because the Google ADK supports Gemini's massive 1M+ token context window, your agent can analyze every CloudBeaver driver configuration simultaneously to find compatibility issues. Once the driver is verified, the Google ADK agent uses `get_connection_info` to inspect active CloudBeaver databases. This lets you map out your entire enterprise database architecture in a single Google ADK context window.

Enterprise Team Provisioning via Google ADK

The `create_team` tool lets your Google ADK agent build out organizational access structures directly inside CloudBeaver. Your Google ADK agent can ingest your entire GCP IAM directory and translate those roles into CloudBeaver teams in one execution. After creating the teams, the Google ADK agent calls `add_connections_access` to map those teams to specific CloudBeaver database connections. This automates your CloudBeaver database onboarding pipeline directly from your Google ADK infrastructure.

Run Google ADK Agents on this MCP Server

The `data_transfer_export_data_from_container` tool allows your Google ADK agent to trigger large-scale data exports from your CloudBeaver tables. The Google ADK manages this task asynchronously, letting your agent monitor the CloudBeaver export progress while handling other GCP operations. The Google ADK agent uses `data_transfer_available_stream_processors` to match the CloudBeaver export format with your BigQuery ingestion requirements. This makes it easy to move legacy relational data from CloudBeaver into your Google ADK cloud data warehouse.

Setup guide

Set up DBeaver (CloudBeaver) 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 DBeaver (CloudBeaver) 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="DBeaver (CloudBeaver)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DBeaver (CloudBeaver) tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CloudBeaver. 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 DBeaver (CloudBeaver) MCP in Google ADK

Use `McpToolset` with the `StreamableHttpServerParameters` pointing to your Vinkius URL. Pass this MCP toolset into your Google ADK `LlmAgent` definition to give Gemini direct access to the database tools.
Yes, you can use the optional `tool_names` filter in the Google ADK to restrict tool access. If you only want the agent to read drivers, only expose `get_driver_list` for your DBeaver (CloudBeaver) instance.
Your Google ADK agent can call `db_sm_terminate` to kill hanging queries or stale connections in DBeaver (CloudBeaver). It uses Gemini's reasoning to identify which session IDs are causing performance bottlenecks before terminating them.
Yes, your Google ADK agent uses `configure_server` to update main server settings in DBeaver (CloudBeaver). It can also read the active setup using `get_ai_settings` to align CloudBeaver with your Google Cloud deployment parameters.
All DBeaver (CloudBeaver) database credentials, session tokens, and schema definitions are isolated within the Vinkius zero-trust execution environment. Your Google ADK agent only receives structured JSON outputs from tools like `get_connection_info`, keeping your underlying database network completely private.

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