OceanBase MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add OceanBase as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="oceanbase_agent",
instruction=(
"You help users interact with OceanBase "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports OceanBase as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the OceanBase MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from OceanBase via MCP
Why Use Google ADK with the OceanBase MCP Server
Google ADK provides unique advantages when paired with OceanBase through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with OceanBase
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine OceanBase tools with BigQuery, Vertex AI, and Cloud Functions
OceanBase + Google ADK Use Cases
Practical scenarios where Google ADK combined with the OceanBase MCP Server delivers measurable value.
Enterprise data agents: ADK agents query OceanBase and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine OceanBase tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query OceanBase regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including OceanBase
OceanBase MCP Tools for Google ADK (10)
These 10 tools become available when you connect OceanBase to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting OceanBase to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkOceanBase + Google ADK FAQ
Common questions about integrating OceanBase MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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 Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
