- SCHEMA
- DATA
- VALIDATION
- HUMAN
Short answer
How can I use AI to ingest data into QuestDB?
Your AI analyzes your CSV or TSV files to determine the correct schema, creates the necessary tables in QuestDB, and runs the import. You get structured time-series data ready for querying without writing manual SQL or ingestion scripts.
The end state
Where your data lands
What happens after you give your AI a dataset.
SCHEMA
Automated table creation
The AI reads your file headers and data types to build the right QuestDB tables. You don't have to write a single CREATE TABLE statement.
DATA
Bulk file imports
The agent moves large CSV or TSV files into your database. Your data lands in the right columns automatically.
VALIDATION
Data type matching
The AI ensures timestamps and numeric values match QuestDB's requirements. This prevents ingestion errors during the upload.
HUMAN
Manual review needed
You decide if the generated schema is correct before the final import. The AI waits for your signal to proceed with the actual data movement.
The workflow
What your AI does when the data arrives.
The AI takes over the heavy lifting of mapping files to database structures.
Analyze file structure
Your agent inspects the CSV or TSV file to identify columns, headers, and data types like timestamps or floats.
import_dataMap to time-series
The AI translates your file columns into a QuestDB-compatible schema, specifically identifying the designated timestamp column.
import_dataBuild the table
The agent sends the schema instructions to QuestDB to create the target table.
import_dataExecute the import
Once you approve the schema, the agent pushes the raw data into the new table.
import_data
Try it
Copy these to start.
Use these prompts to kick off the process.
Starting points
Swap out the bracketed info for your actual file names or table names.
QuestDB Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_2JOk1hTa0Hc7TZSrk9PX0JHkHMR9yGZEnj7dIpoE/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — QuestDB capabilities are ready to use.
{
"mcpServers": {
"questdb-time-series-mcp": {
"url": "https://edge.vinkius.com/vk_preview_2JOk1hTa0Hc7TZSrk9PX0JHkHMR9yGZEnj7dIpoE/mcp"
}
}
}Look at my sensor_data.csv file and suggest a QuestDB table schema.
Create a new table in QuestDB based on the columns in this TSV file.
Import the contents of logs.csv into my existing telemetry table.
Check if this CSV file matches the schema of my current QuestDB table.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect QuestDB once, then ask.
Just link your instance via the Vinkius dashboard. Your credentials stay encrypted and your agent gets immediate access to your database.
Connect QuestDB to your AIFAQ
How the task behaves
- 01
Can the AI delete my existing QuestDB tables?
No. The AI only has tools to create new tables and import data. It cannot drop or modify existing structures.
- 02
Does the AI handle the SQL commands for me?
Yes. The agent translates your natural language request into the necessary commands to build the schema and move the data.
- 03
Can I use this for real-time streaming data?
No. This specific workflow is designed for batch importing files like CSV or TSV, not for managing live ingestion streams.
- 04
Will the AI automatically run the import without asking?
No. The agent will typically propose a schema first. You must confirm the table structure before it starts the actual data import.
- 05
What file types are supported?
The AI is specifically equipped to handle CSV and TSV files.
More questions about QuestDB? The Connector page answers them. See everything the QuestDB Connector can do
Connect QuestDB to Claude, Cursor, ChatGPT & more
