QuestDB (Time-Series) MCP Server with 4 Tools for Claude, Cursor, and AI Agents
High-performance time-series database for fast SQL queries, data ingestion, and real-time analytics directly from your AI agent. Vinkius routes your AI agents directly to QuestDB (Time-Series) through a governed connection. 4 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
Ask AI about this server
Compatible with every major AI agent and IDE

* 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
What is the QuestDB MCP Server?
The QuestDB MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to QuestDB via 4 tools. High-performance time-series database for fast SQL queries, data ingestion, and real-time analytics directly from your AI agent. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.
Built-in capabilities (4)
Tools for your AI Agents to operate QuestDB
Ask your AI agent "Check if the QuestDB server is online and show me the version." and get the answer without opening a single dashboard. With 4 tools connected to real QuestDB data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.
Build your own MCP Server with our secure development framework →The QuestDB (Time-Series) App Connector works with every AI agent you already use
…and any MCP-compatible client


















Use all 4 QuestDB (Time-Series) tools with your AI agents right now
Vinkius routes your AI agents to QuestDB (Time-Series) through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.
Execute sql on QuestDB (Time-Series)
Use this for standard SELECT, INSERT, or DDL operations. Execute SQL statements (queries, DDL, DML) on QuestDB
Export data on QuestDB (Time-Series)
Useful for extracting large datasets. Export query results as CSV or Parquet
Import data on QuestDB (Time-Series)
Automatically creates tables and columns if they do not exist. Import tabular data (CSV, TSV) into a table
Ping on QuestDB (Time-Series)
Health check and version information
What the QuestDB (Time-Series) MCP Server unlocks
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
1. Subscribe to this server
2. Provide your QuestDB URL and optional credentials (Username/Password or Token)
3. 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.
Frequently asked questions about the QuestDB (Time-Series) MCP Server
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.
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We built the connector to QuestDB (Time-Series). Now put your agents to work. Fully governed.
Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from QuestDB (Time-Series) to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.
