OceanBase MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OceanBase 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
Vinkius supports streamable HTTP and SSE.
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="OceanBase Assistant",
instructions=(
"You help users interact with OceanBase. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from OceanBase"
)
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 OceanBase MCP Server
Empower your AI agent to orchestrate your entire database infrastructure with OceanBase, the premier enterprise distributed relational database. By connecting OceanBase to your agent, you transform complex cluster management, tenant resource allocation, and database auditing into a natural conversation. Your agent can instantly list your database clusters, retrieve detailed configuration for tenants, monitor resource usage statistics, and browse available databases without you ever needing to navigate the OceanBase Cloud console. Whether you are conducting a capacity planning review or auditing database health across a global deployment, your agent acts as a real-time database reliability assistant, keeping your data infrastructure accurate and your systems performant.
The OpenAI Agents SDK auto-discovers all 10 tools from OceanBase through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OceanBase, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Cluster Orchestration — List all database clusters and retrieve detailed configuration and status information.
- Tenant Management — Browse logical tenants within clusters and retrieve detailed resource allocation metadata.
- Database Auditing — List all databases within specific tenants to identify data assets and structures.
- Resource Monitoring — Retrieve aggregate resource usage statistics to audit system performance and capacity.
- Organization Insights — Browse projects, instances, and workspaces to maintain a unified view of your database ecosystem.
The OceanBase MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect OceanBase to OpenAI Agents SDK via MCP
Follow these steps to integrate the OceanBase MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from OceanBase
Why Use OpenAI Agents SDK with the OceanBase MCP Server
OpenAI Agents SDK provides unique advantages when paired with OceanBase 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
OceanBase + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the OceanBase MCP Server delivers measurable value.
Automated workflows: build agents that query OceanBase, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries OceanBase, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through OceanBase tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query OceanBase to resolve tickets, look up records, and update statuses without human intervention
OceanBase MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect OceanBase to OpenAI Agents SDK via MCP:
get_cluster_details
Get cluster details
get_instance_details
Get instance details
get_resource_stats
Get resource statistics
get_tenant_details
Get tenant details
get_workspaces
Get account workspaces
list_clusters
List OceanBase clusters
list_databases
List tenant databases
list_instances
List OB instances
list_projects
List OB projects
list_tenants
List cluster tenants
Example Prompts for OceanBase in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OceanBase immediately.
"List all database clusters in my OceanBase account."
"Show me the resource usage statistics for the organization."
"List all databases in tenant 'tenant-8821' inside cluster 'cluster-9920'."
Troubleshooting OceanBase MCP Server with OpenAI Agents SDK
Common issues when connecting OceanBase to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
OceanBase + OpenAI Agents SDK FAQ
Common questions about integrating OceanBase 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?
Connect OceanBase with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OceanBase to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.