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How to Use the DBeaver (CloudBeaver) MCP in OpenAI Agents SDK

Run secure database admin workflows with the OpenAI Agents SDK and CloudBeaver to manage connections and users with strict guardrails.

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OpenAI Agents SDK

Connect DBeaver (CloudBeaver) MCP to OpenAI Agents SDK

Create your Vinkius account to connect DBeaver (CloudBeaver) to OpenAI Agents SDK 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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Manage CloudBeaver Access via OpenAI Agents SDK

Your OpenAI Agents SDK agent uses the `create_user` tool to provision CloudBeaver database accounts directly through the server API. Using the OpenAI Agents SDK, you can apply built-in guardrails to the `create_user` tool so your agent never spawns unauthorized CloudBeaver profiles. Your OpenAI Agents SDK agent can run `add_connections_access` to link teams with specific CloudBeaver database connections. You can trace every single CloudBeaver permission change made by the agent directly inside your OpenAI dashboard.

Secure Connection Control and Session Termination

The `db_sm_terminate` tool gives your OpenAI Agents SDK agent the power to kill active database sessions when a connection goes rogue. When building with the OpenAI Agents SDK, you can set up a supervisor agent that monitors CloudBeaver performance and hands off session cleanup to a specialized agent. Before taking action, your OpenAI agent calls `get_connection_info` to inspect the status of the target CloudBeaver database. This protects your production databases because your OpenAI agent verifies the CloudBeaver connection state before executing any termination commands.

Automate CloudBeaver Data Exports in Production

The `data_transfer_export_data_from_results` tool allows your OpenAI Agents SDK agent to run async exports of SQL query results directly to CSV or XLSX format. Your OpenAI agent uses this MCP Server tool to query `data_transfer_available_stream_processors` and find which export formats your CloudBeaver server supports. Because you are running this in a production OpenAI agent system, the SDK handles the background CloudBeaver export task without blocking your main thread. You can trace the entire CloudBeaver export pipeline from the initial query to the final file generation within your OpenAI dashboard.

Setup guide

Set up DBeaver (CloudBeaver) MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all DBeaver (CloudBeaver) tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives DBeaver (CloudBeaver) tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate DBeaver (CloudBeaver) tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="DBeaver (CloudBeaver) Agent",
            instructions="You have access to DBeaver (CloudBeaver) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 OpenAI Agents SDK

Install the SDK, then initialize the MCP server using `MCPServerStreamableHttp` pointing to your Vinkius URL. Pass this instance in the `mcp_servers` list when creating your OpenAI Agents SDK Agent.
Yes, your OpenAI Agents SDK agent can call `get_all_product_licenses` and `get_active_product_license` to check your current license status. This allows your agent to alert you when a CloudBeaver license is about to expire.
Yes, you can use `get_connection_info` to let the OpenAI Agents SDK agent inspect connections, and manage access rights programmatically using `add_connections_access` within your guardrail parameters in DBeaver (CloudBeaver).
The OpenAI Agents SDK agent uses `auth_login` with your configured provider credentials to access DBeaver (CloudBeaver). You can query `get_auth_providers` first to find out which authentication methods are supported.
Your DBeaver (CloudBeaver) database credentials and session data are processed entirely inside an ephemeral V8 sandbox, never exposing raw credentials to the OpenAI Agents SDK agent. All token swaps and query exports happen in isolation, keeping your database network secure.

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