Can I run destructive commands like deleting databases through this AI implementation?

Yes. The integration provides `delete_branch` and `delete_database`. They map directly to infrastructure teardowns. You should scope the Service Token carefully inside the PlanetScale dashboard to avoid catastrophic misinterpretations if your explicit intent is just testing. Deletions via `delete_database` are absolute and irretrievable.

Does `create_branch` replicate and copy my production dataset into the new branch?

No. PlanetScale branches solely duplicate the static underlying DDL structure (schema), exactly like taking a snapshot of empty tables. The new branch boots up free of rows. This design lets your agent freely run `ALTER TABLE` operations independently without crashing the master tables.

How does the agent know which organizational node I am provisioning my branches on?

All queries essentially require the foundational string parameters known as the `org_name`. If unknown, a simple `list_organizations` query reveals the UUID scope dictating your authorized account parameter bounds securely.

PlanetScale MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: PlanetScale
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add PlanetScale as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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

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="planetscale_agent",
    instruction=(
        "You help users interact with PlanetScale "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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 PlanetScale MCP Server

Empower your AI agents to manage your PlanetScale serverless infrastructure seamlessly. Leverage the power of Vitess-backed MySQL without leaving your IDE. Ask your AI to branch a production database for testing, list regions, or drop obsolete schema forks instantly.

Google ADK natively supports PlanetScale as an MCP tool provider — declare the 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

Database Provisioning — Instantly list (list_databases), inspect, create (create_database), or destroy serverless MySQL clusters running across global regions.
Branch Management — Harness PlanetScale's Git-like schema workflows. Direct your LLM to spawn a temporary shadow-test branch cloned from main (create_branch), allowing consequence-free migrations before orchestrating Deploy Requests.
Infrastructure Exploration — Discover strict organizational IDs (list_organizations) and query available physical cloud provider edges (list_regions) to optimize latency targets.

The PlanetScale 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 PlanetScale to Google ADK via MCP

Follow these steps to integrate the PlanetScale 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 PlanetScale via MCP

Why Use Google ADK with the PlanetScale MCP Server

Google ADK provides unique advantages when paired with PlanetScale 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 PlanetScale

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 PlanetScale tools with BigQuery, Vertex AI, and Cloud Functions

PlanetScale + Google ADK Use Cases

Practical scenarios where Google ADK combined with the PlanetScale MCP Server delivers measurable value.

Enterprise data agents: ADK agents query PlanetScale and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine PlanetScale tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query PlanetScale regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including PlanetScale

PlanetScale MCP Tools for Google ADK (10)

These 10 tools become available when you connect PlanetScale to Google ADK via MCP:

create_branch

Does *not* duplicate data (creates an empty schema clone of the parent) for secure CI testing uncoupled entirely from `main` load balancing layers. Fork a PlanetScale schema mapping to a new isolated Branch

create_database

Creates empty environments ready to execute explicit DDL definitions via non-blocking Deploy Requests. Provision a radically scalable Serverless Database instance

delete_branch

Utilized constantly within CI/CD pipelines following a successful Deploy Request morphing `main` schema structure directly. Purge an obsolete Git-like Schema testing ground

delete_database

Dropping the database effectively wipes terabytes of records scattered globally. Fails fully if unacknowledged connection logic binds it. Destroy a PlanetScale MySQL construct irreversibly

get_branch

Returns access hostnames for code integration. Deconstruct the layout of a single explicit Database Branch

get_database

Analyze core configuration of a specific MySQL cluster logic

list_branches

Essential for migrating schemas without locking production reads/writes. List Development Database Branches mirroring Prod architectures

list_databases

Retrieves explicitly mapping IDs orchestrating distributed Vitess backend shards. List high-availability PlanetScale MySQL DB distributions

list_organizations

Used solely to resolve the foundational string key prerequisite for all subsequent MySQL endpoint management. List root PlanetScale organizational identifiers

list_regions

Critical reference required during new Database/Branch physical provisioning routines. Locate physical edge availability zones supported by Vitess

Example Prompts for PlanetScale in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with PlanetScale immediately.

"List all physical cloud regions currently exposed by the PlanetScale integration."

"We're starting a new feature. Fork testing branch from the main database 'store-backend'."

"Drop the specific 'staging-01' branch inside the 'web-portal' database."

Troubleshooting PlanetScale MCP Server with Google ADK

Common issues when connecting PlanetScale to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

PlanetScale + Google ADK FAQ

Common questions about integrating PlanetScale MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.