How do I find my OceanBase Access Key and Secret?

Log in to your OceanBase Cloud console, go to [Security] → [Access Keys], and you will find your unique Access Key ID and Secret Key there. Ensure you keep them confidential.

Can I list databases for a specific tenant through this server?

Yes. Use the `list_databases` tool with the cluster ID and tenant ID. Your agent will retrieve the full list of logical databases belonging to that specific resource pool.

Is it possible to check organization-wide resource usage?

Yes! Use the `get_resource_stats` tool to retrieve aggregate statistics across your OceanBase account, helping you monitor total CPU, memory, and storage consumption.

OceanBase MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: OceanBase
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect OceanBase through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "oceanbase": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using OceanBase, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with OceanBase through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the OceanBase MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from OceanBase via MCP

Why Use LangChain with the OceanBase MCP Server

LangChain provides unique advantages when paired with OceanBase through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine OceanBase MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across OceanBase queries for multi-turn workflows

OceanBase + LangChain Use Cases

Practical scenarios where LangChain combined with the OceanBase MCP Server delivers measurable value.

RAG with live data: combine OceanBase tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query OceanBase, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain OceanBase tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every OceanBase tool call, measure latency, and optimize your agent's performance

OceanBase MCP Tools for LangChain (10)

These 10 tools become available when you connect OceanBase to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting OceanBase to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

OceanBase + LangChain FAQ

Common questions about integrating OceanBase MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.