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SingleStore MCP Server for Google ADK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

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

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="singlestore_agent",
    instruction=(
        "You help users interact with SingleStore "
        "using 6 available tools."
    ),
    tools=[mcp_tools],
)
SingleStore
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 SingleStore MCP Server

Grant your AI agent (like Claude or Cursor) absolute read-and-write sovereignty over your SingleStore infrastructure. The SingleStore MCP equips your LLM to act as a fully autonomous database administrator. Stop navigating external dashboards to check schema details or run complex search queries.

Google ADK natively supports SingleStore as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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

  • Execute SQL Queries — Execute raw SQL natively from your AI agent using execute_sql.
  • Semantic Vector Search — Perform semantic vector similarity searches natively against your data with vector_search.
  • Workspace & Billing Administration — Survey your server clusters with list_workspaces, list databases with list_databases, and audit billing usage via get_billing_usage.

The SingleStore MCP Server exposes 6 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 SingleStore to Google ADK via MCP

Follow these steps to integrate the SingleStore MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 6 tools from SingleStore via MCP

Why Use Google ADK with the SingleStore MCP Server

Google ADK provides unique advantages when paired with SingleStore through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with SingleStore

03

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

04

Seamless integration with Google Cloud services means you can combine SingleStore tools with BigQuery, Vertex AI, and Cloud Functions

SingleStore + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

SingleStore MCP Tools for Google ADK (6)

These 6 tools become available when you connect SingleStore to Google ADK via MCP:

01

execute_sql

Use read-only SQL statements whenever possible. Executes a SQL query on a SingleStore database

02

get_billing_usage

Retrieves billing and usage metrics

03

list_databases

Lists all databases within a specific workspace

04

list_organizations

Lists organizations associated with the account

05

list_workspaces

Lists all SingleStore workspaces

06

vector_search

Performs a DOT_PRODUCT vector similarity search

Example Prompts for SingleStore in Google ADK

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

01

"List all my available workspaces."

02

"List all databases within workspace ID 1234, and then find the first 5 records in 'users_db'."

Troubleshooting SingleStore MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

SingleStore + Google ADK FAQ

Common questions about integrating SingleStore MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect SingleStore to Google ADK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.