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
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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_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 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 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 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.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query DBeaver (CloudBeaver), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries DBeaver (CloudBeaver), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through DBeaver (CloudBeaver) tools and transform it with OpenAI models in a single async loop
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.
"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 OpenAI Agents SDK
Common issues when connecting DBeaver (CloudBeaver) to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
DBeaver (CloudBeaver) + OpenAI Agents SDK FAQ
Common questions about integrating DBeaver (CloudBeaver) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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