- STRUCTURE
- TYPES
- VALIDATION
- HUMAN
Short answer
How can I check dataset schemas using my AI?
Your agent uses the connector to pull metadata for specific tables. This reveals column names and data types so you can verify the structure before running queries. You get a clear map of the dataset to prevent errors.
The outcomes
What you get from schema inspection
The AI maps out the data landscape so your queries actually work.
STRUCTURE
Table architecture
The agent identifies how tables are organized. You'll see the hierarchy of the dataset without manual digging.
TYPES
Column data types
Your agent checks if a column is a string, integer, or float. This prevents type mismatch errors in your analysis.
VALIDATION
Schema verification
The AI confirms the exact column names available. You won't waste time guessing which headers to use in your code.
HUMAN
Manual review
You decide if the schema matches your research needs. The AI provides the map, but you make the final call on the data's relevance.
The workflow
What your AI does when the request arrives.
The agent moves from broad discovery to specific column validation.
Locate datasets
The agent identifies the relevant datasets within the Nasdaq Data Link environment.
get_datatable_metadataExtract structure
The agent pulls the specific metadata for the requested table.
get_datatable_metadataMap columns
The agent lists every column name and its corresponding data type.
get_datatable_metadataSummarize schema
The agent presents a clean summary of the table's layout for your review.
get_datatable_metadata
Try it
Copy these to start.
Use these prompts to begin exploring Nasdaq Data Link.
Starting points
Replace the bracketed text with your specific dataset or table names.
Nasdaq Data Link Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_JetgEjfNYXxZjBKgsK9Eqta1yhwzQLsEOPXl7Hq5/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 — Nasdaq Data Link capabilities are ready to use.
{
"mcpServers": {
"nasdaq-data-link-quandl-mcp": {
"url": "https://edge.vinkius.com/vk_preview_JetgEjfNYXxZjBKgsK9Eqta1yhwzQLsEOPXl7Hq5/mcp"
}
}
}Show me the schema for the Quandl/WIKI/AAPL table.
What are the column names and types in the Zillow dataset?
List the metadata for the specific table I'm looking at.
Check the structure of this dataset to see if it has price columns.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Nasdaq Data Link once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start asking your agent about any dataset in the catalog.
Connect Nasdaq Data Link to your AIFAQ
How this task behaves
- 01
Can the AI download the actual data files?
No. This specific task is only for inspecting the metadata and table structures.
- 02
Can the AI change the data in Nasdaq Data Link?
No. The agent only has read access to the metadata; it cannot modify any datasets.
- 03
Does the AI know which columns are available?
Yes. It uses the metadata tool to see exactly which columns exist in a table.
- 04
Will the AI write my SQL queries for me?
The agent can suggest queries based on the schema it finds, but you must execute them.
- 05
Can I use this with any AI client?
Yes, as long as your client is MCP-compatible like Claude, Cursor, or Windsurf.
More questions about Nasdaq Data Link? The Connector page answers them. See everything the Nasdaq Data Link Connector can do
Connect Nasdaq Data Link to Claude, Cursor, ChatGPT & more
