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DBeaver (CloudBeaver) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 19 tools to Add Connections Access, Auth Login, Configure Server, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DBeaver (CloudBeaver) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The DBeaver (CloudBeaver) MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 19 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="DBeaver (CloudBeaver) Assistant",
            instructions=(
                "You help users interact with DBeaver (CloudBeaver). "
                "You have access to 19 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from DBeaver (CloudBeaver)"
        )
        print(result.final_output)

asyncio.run(main())
DBeaver (CloudBeaver)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 19 tools from DBeaver (CloudBeaver) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DBeaver (CloudBeaver), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • User & Team Management — Create, delete, and inspect user accounts and teams for granular access control using create_user and create_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_list and data_transfer_available_stream_processors.
  • Server Health & Licensing — Monitor active product licenses, server settings, and AI assistant configurations with get_active_product_license and get_ai_settings.
  • Authentication Control — Query available auth providers and manage session logins via get_auth_providers and auth_login.

The DBeaver (CloudBeaver) MCP Server exposes 19 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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

Add connections access on DBeaver (CloudBeaver)

Grants users or teams access to specific connections

auth

Auth login on DBeaver (CloudBeaver)

Authenticates a session using a provider and credentials

configure

Configure server on DBeaver (CloudBeaver)

Updates the main server configuration

create

Create team on DBeaver (CloudBeaver)

Creates a new team for access management

create

Create user on DBeaver (CloudBeaver)

Creates a new user account (Admin only)

data

Data transfer available stream processors on DBeaver (CloudBeaver)

Lists available export formats (CSV, JSON, XLSX, etc.)

data

Data transfer export data from container on DBeaver (CloudBeaver)

Starts an async task to export data from a table/schema

data

Data transfer export data from results on DBeaver (CloudBeaver)

Exports data from a specific SQL query result set

db

Db sm terminate on DBeaver (CloudBeaver)

Terminates active database sessions for a connection

delete

Delete team on DBeaver (CloudBeaver)

Removes a team

delete

Delete user on DBeaver (CloudBeaver)

Removes a user account

get

Get active product license on DBeaver (CloudBeaver)

Returns details of the active server license

get

Get active user on DBeaver (CloudBeaver)

Returns information about the currently authorized user

get

Get admin user info on DBeaver (CloudBeaver)

Returns detailed admin-level info for a specific user

get

Get ai settings on DBeaver (CloudBeaver)

Returns global AI assistant configurations

get

Get all product licenses on DBeaver (CloudBeaver)

Lists all licenses installed on the server

get

Get auth providers on DBeaver (CloudBeaver)

Lists all available authentication providers (local, SAML, etc.)

get

Get connection info on DBeaver (CloudBeaver)

Returns configuration and status for a specific database connection

get

Get driver list on DBeaver (CloudBeaver)

Lists all database drivers supported by the server

Connect DBeaver (CloudBeaver) to OpenAI Agents SDK via MCP

Follow these steps to wire DBeaver (CloudBeaver) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 19 tools from DBeaver (CloudBeaver)

Why Use OpenAI Agents SDK with the DBeaver (CloudBeaver) MCP Server

OpenAI Agents SDK provides unique advantages when paired with DBeaver (CloudBeaver) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

DBeaver (CloudBeaver) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the DBeaver (CloudBeaver) MCP Server delivers measurable value.

01

Automated workflows: build agents that query DBeaver (CloudBeaver), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries DBeaver (CloudBeaver), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through DBeaver (CloudBeaver) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query DBeaver (CloudBeaver) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for DBeaver (CloudBeaver) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DBeaver (CloudBeaver) immediately.

01

"List all database drivers supported by the server."

02

"Show me the details for connection 'postgres-prod' in project 'main-fleet'."

03

"Who is the currently authorized user and what is their display name?"

Troubleshooting DBeaver (CloudBeaver) MCP Server with OpenAI Agents SDK

Common issues when connecting DBeaver (CloudBeaver) to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

DBeaver (CloudBeaver) + OpenAI Agents SDK FAQ

Common questions about integrating DBeaver (CloudBeaver) MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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