CursorIDE

QuestDB (Time-Series) MCP Server

Bring Time Series
to Cursor

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

Learn how to connect QuestDB (Time-Series) to Cursor and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Execute SqlExport DataImport DataPing

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Provide your QuestDB URL and optional credentials (Username/Password or Token)
Start querying and managing your time-series data from Claude, Cursor, or any MCP-compatible client

Who is this for?

Data Engineers — Quickly inspect table schemas, run migrations, and verify data ingestion pipelines.
Analysts — Perform ad-hoc time-series analysis and export results without writing complex scripts.
DevOps Teams — Monitor database health and perform maintenance tasks through a conversational interface.

Built-in capabilities (4)

execute_sql

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

export_data

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

import_data

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

ping

Health check and version information

Why Cursor?

Cursor's Agent mode turns QuestDB (Time-Series) into an in-editor superpower. Ask Cursor to generate code using live data from QuestDB (Time-Series) and it fetches, processes, and writes. all in a single agentic loop. 4 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

—
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
—
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
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MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
—
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

See it in action

QuestDB (Time-Series) in Cursor

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

QuestDB (Time-Series) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect QuestDB (Time-Series) to Cursor through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Cursor →

Enterprise Security

Why teams choose Vinkius for QuestDB (Time-Series) in Cursor

The QuestDB (Time-Series) 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Cursor only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full QuestDB (Time-Series) details →

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

The Vinkius Advantage

How Vinkius secures
QuestDB (Time-Series) for Cursor

Every tool call from Cursor to the QuestDB (Time-Series) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I execute standard SQL queries and DDL commands like creating tables?

Yes! Use the execute_sql tool to run any valid QuestDB SQL statement, including SELECT, INSERT, and table definitions. You can also include parameters like explain to see the execution plan.

How do I import a CSV file into a new or existing table?

Use the import_data tool. Provide the target table name and the raw CSV data. The tool can automatically create the table structure and handle partitioning if specified.

Is there a way to export large query results for use in other tools?

Absolutely. The export_data tool allows you to run a query and receive the output in CSV or Parquet format, which is ideal for large-scale data extraction.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.