QuestDB (Time-Series) MCP Server for Google ADKGive Google ADK instant access to 4 tools to Execute Sql, Export Data, Import Data, and more

Name: QuestDB (Time-Series)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The QuestDB (Time-Series) MCP Server for Google ADK is a standout in the Databases category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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Gemini

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+ other MCP clients

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="questdb_time_series_agent",
    instruction=(
        "You help users interact with QuestDB (Time-Series) "
        "using 4 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 QuestDB (Time-Series) MCP Server

Connect your QuestDB instance to any AI agent to perform high-speed time-series analysis and data management using natural language.

Google ADK natively supports QuestDB (Time-Series) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 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

SQL Execution — Run complex SQL queries, DDL, and DML operations optimized for time-series data.
High-Speed Ingestion — Import tabular data (CSV/TSV) directly into tables with automatic schema creation and partitioning.
Data Export — Extract large datasets in CSV or Parquet formats for external analysis or reporting.
Health Monitoring — Instantly check server status and version information to ensure your database is operational.

The QuestDB (Time-Series) MCP Server exposes 4 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 QuestDB (Time-Series) tools available for Google ADK

When Google ADK connects to QuestDB (Time-Series) through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-series, sql, data-ingestion, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

execute

Execute sql on QuestDB (Time-Series)

Use this for standard SELECT, INSERT, or DDL operations. Execute SQL statements (queries, DDL, DML) on QuestDB

export

Export data on QuestDB (Time-Series)

Useful for extracting large datasets. Export query results as CSV or Parquet

import

Import data on QuestDB (Time-Series)

Automatically creates tables and columns if they do not exist. Import tabular data (CSV, TSV) into a table

action

Ping on QuestDB (Time-Series)

Health check and version information

Connect QuestDB (Time-Series) to Google ADK via MCP

Follow these steps to wire QuestDB (Time-Series) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 4 tools from QuestDB (Time-Series) via MCP

Why Use Google ADK with the QuestDB (Time-Series) MCP Server

Google ADK provides unique advantages when paired with QuestDB (Time-Series) 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 QuestDB (Time-Series)

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 QuestDB (Time-Series) tools with BigQuery, Vertex AI, and Cloud Functions

QuestDB (Time-Series) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the QuestDB (Time-Series) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query QuestDB (Time-Series) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine QuestDB (Time-Series) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query QuestDB (Time-Series) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including QuestDB (Time-Series)

Example Prompts for QuestDB (Time-Series) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with QuestDB (Time-Series) immediately.

"Check if the QuestDB server is online and show me the version."

"Execute a query to find the average temperature from the 'sensors' table for the last hour."

"Export the last 1000 rows of the 'trades' table as a CSV file."

Troubleshooting QuestDB (Time-Series) MCP Server with Google ADK

Common issues when connecting QuestDB (Time-Series) to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

QuestDB (Time-Series) + Google ADK FAQ

Common questions about integrating QuestDB (Time-Series) 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.