DBeaver (CloudBeaver) MCP Server for Google ADKGive Google ADK instant access to 19 tools to Add Connections Access, Auth Login, Configure Server, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add DBeaver (CloudBeaver) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The DBeaver (CloudBeaver) MCP Server for Google ADK is a standout in the Developer Tools category — giving your AI agent 19 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="dbeaver_cloudbeaver_agent",
instruction=(
"You help users interact with DBeaver (CloudBeaver) "
"using 19 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About DBeaver (CloudBeaver) MCP Server
Connect your CloudBeaver (DBeaver Cloud) instance to any AI agent to streamline database administration and server management through natural language.
Google ADK natively supports DBeaver (CloudBeaver) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 19 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- User & Team Management — Create, delete, and inspect user accounts and teams for granular access control using
create_userandcreate_team. - Connection Insights — Fetch detailed configuration and status for specific database connections across projects with
get_connection_info. - Driver & Export Discovery — List supported database drivers and available data transfer formats (CSV, JSON, XLSX) via
get_driver_listanddata_transfer_available_stream_processors. - Server Health & Licensing — Monitor active product licenses, server settings, and AI assistant configurations with
get_active_product_licenseandget_ai_settings. - Authentication Control — Query available auth providers and manage session logins via
get_auth_providersandauth_login.
The DBeaver (CloudBeaver) MCP Server exposes 19 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 19 DBeaver (CloudBeaver) tools available for Google ADK
When Google ADK connects to DBeaver (CloudBeaver) through Vinkius, your AI agent gets direct access to every tool listed below — spanning sql, database-administration, cloudbeaver, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add connections access on DBeaver (CloudBeaver)
Grants users or teams access to specific connections
Auth login on DBeaver (CloudBeaver)
Authenticates a session using a provider and credentials
Configure server on DBeaver (CloudBeaver)
Updates the main server configuration
Create team on DBeaver (CloudBeaver)
Creates a new team for access management
Create user on DBeaver (CloudBeaver)
Creates a new user account (Admin only)
Data transfer available stream processors on DBeaver (CloudBeaver)
Lists available export formats (CSV, JSON, XLSX, etc.)
Data transfer export data from container on DBeaver (CloudBeaver)
Starts an async task to export data from a table/schema
Data transfer export data from results on DBeaver (CloudBeaver)
Exports data from a specific SQL query result set
Db sm terminate on DBeaver (CloudBeaver)
Terminates active database sessions for a connection
Delete team on DBeaver (CloudBeaver)
Removes a team
Delete user on DBeaver (CloudBeaver)
Removes a user account
Get active product license on DBeaver (CloudBeaver)
Returns details of the active server license
Get active user on DBeaver (CloudBeaver)
Returns information about the currently authorized user
Get admin user info on DBeaver (CloudBeaver)
Returns detailed admin-level info for a specific user
Get ai settings on DBeaver (CloudBeaver)
Returns global AI assistant configurations
Get all product licenses on DBeaver (CloudBeaver)
Lists all licenses installed on the server
Get auth providers on DBeaver (CloudBeaver)
Lists all available authentication providers (local, SAML, etc.)
Get connection info on DBeaver (CloudBeaver)
Returns configuration and status for a specific database connection
Get driver list on DBeaver (CloudBeaver)
Lists all database drivers supported by the server
Connect DBeaver (CloudBeaver) to Google ADK via MCP
Follow these steps to wire DBeaver (CloudBeaver) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the DBeaver (CloudBeaver) MCP Server
Google ADK provides unique advantages when paired with DBeaver (CloudBeaver) through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with DBeaver (CloudBeaver)
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine DBeaver (CloudBeaver) tools with BigQuery, Vertex AI, and Cloud Functions
DBeaver (CloudBeaver) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the DBeaver (CloudBeaver) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query DBeaver (CloudBeaver) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine DBeaver (CloudBeaver) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query DBeaver (CloudBeaver) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including DBeaver (CloudBeaver)
Example Prompts for DBeaver (CloudBeaver) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with DBeaver (CloudBeaver) immediately.
"List all database drivers supported by the server."
"Show me the details for connection 'postgres-prod' in project 'main-fleet'."
"Who is the currently authorized user and what is their display name?"
Troubleshooting DBeaver (CloudBeaver) MCP Server with Google ADK
Common issues when connecting DBeaver (CloudBeaver) to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkDBeaver (CloudBeaver) + Google ADK FAQ
Common questions about integrating DBeaver (CloudBeaver) MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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