QuestDB (Time-Series) MCP Server for Vercel AI SDKGive Vercel AI SDK 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

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect QuestDB (Time-Series) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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

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typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using QuestDB (Time-Series), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* 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.

The Vercel AI SDK gives every QuestDB (Time-Series) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 Vercel AI SDK via MCP

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

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 4 tools from QuestDB (Time-Series) and passes them to the LLM

Why Use Vercel AI SDK with the QuestDB (Time-Series) MCP Server

Vercel AI SDK provides unique advantages when paired with QuestDB (Time-Series) through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same QuestDB (Time-Series) integration everywhere

Built-in streaming UI primitives let you display QuestDB (Time-Series) tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

QuestDB (Time-Series) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the QuestDB (Time-Series) MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query QuestDB (Time-Series) in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate QuestDB (Time-Series) tools and return structured JSON responses to any frontend

Chatbots with tool use: embed QuestDB (Time-Series) capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with QuestDB (Time-Series) through natural language queries

Example Prompts for QuestDB (Time-Series) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

Common issues when connecting QuestDB (Time-Series) to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

QuestDB (Time-Series) + Vercel AI SDK FAQ

Common questions about integrating QuestDB (Time-Series) MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.