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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up DBeaver (CloudBeaver) MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 DBeaver (CloudBeaver) tools in your ADK agent.
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
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