How to Use the CockroachDB Cloud MCP in Google ADK

Q: How do I configure CockroachDB Cloud tools inside Google ADK?

Install google-adk and declare a new McpToolset pointing to your Vinkius MCP HTTP URL. Pass this toolset into your LlmAgent initialization. Your Gemini agent can now query your database cluster topology.

Q: Can I restrict which CockroachDB Cloud operations the Google ADK agent can see?

Yes. Use the optional toolnames filter in your McpToolset configuration to expose only specific tools. For example, you can expose listcockroachclusters while hiding sensitive network configuration tools.

Q: How does Google ADK handle CockroachDB Cloud multi-region topologies?

Your agent calls listsupportedcloudproviders alongside cluster details to map out multi-region deployments. Gemini's long context easily processes these detailed regional structures to help plan your data distribution.

Q: Is my CockroachDB Cloud encryption key metadata safe with Google ADK?

Yes. When your agent calls listencryptionkeys, the sensitive key identifiers are processed in memory and never stored. Vinkius runs this MCP Server in an isolated, zero-trust sandbox to prevent data leaks.

Feed CockroachDB Cloud topology and security metrics directly to your Google ADK agents using Gemini's massive context.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CockroachDB Cloud MCP to Google ADK

Create your Vinkius account to connect CockroachDB Cloud to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup CockroachDB Cloud with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze distributed database nodes via Google ADK

Large-scale database management requires deep context. Your MCP-enabled agent uses `list_cluster_nodes` and `get_cluster_cloud_details` to pull the complete state of your distributed SQL clusters. Because the Google ADK handles long-context inputs, your agent can digest detailed node metrics in a single turn. It connects the dots between node status and active regions without hitting token limits.

Correlate database operations with BigQuery logs

Combine your database state with enterprise data warehouse records. The agent runs `list_cluster_operations` to fetch recent scaling events and compares them against system logs. This setup makes it easy to root-cause performance dips. Your agent checks if a database upgrade matches a query latency spike logged in your Google Cloud environment.

Audit database perimeters with an MCP Server

Keep your cloud database locked down. Your agent queries `list_network_allowlist` and `list_encryption_keys` to verify that only approved IP ranges can connect to your data. By running these checks automatically, you avoid configuration drift. If an unapproved range appears, your agent flags it using your existing Vertex AI notification pipelines.

Setup guide

Set up CockroachDB Cloud MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with CockroachDB Cloud tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="CockroachDB Cloud_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CockroachDB Cloud tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CockroachDB Cloud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect CockroachDB Cloud now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CockroachDB Cloud MCP in Google ADK

Install `google-adk` and declare a new `McpToolset` pointing to your Vinkius MCP HTTP URL. Pass this toolset into your `LlmAgent` initialization. Your Gemini agent can now query your database cluster topology.

Yes. Use the optional `tool_names` filter in your `McpToolset` configuration to expose only specific tools. For example, you can expose `list_cockroach_clusters` while hiding sensitive network configuration tools.

Your agent calls `list_supported_cloud_providers` alongside cluster details to map out multi-region deployments. Gemini's long context easily processes these detailed regional structures to help plan your data distribution.

No. Vinkius manages your cloud database credentials securely. Your Google ADK agent only needs one secure HTTP token to access the hosted database tools.

Yes. When your agent calls `list_encryption_keys`, the sensitive key identifiers are processed in memory and never stored. Vinkius runs this MCP Server in an isolated, zero-trust sandbox to prevent data leaks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript