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Connect Nasdaq Data Link Quandl to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Pull professional economic and market datasets directly into your AI agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Nasdaq Data Link.

  1. 01

    Get datatable metadata

    Retrieves the schema and column details for a specific Nasdaq datatable. Use this to identify filterable columns and data types before running queries.

  2. 02

    Request bulk download

    Triggers a large-scale data export for a specific datatable. It returns a status like PENDING or SUCCEEDED so you can track the progress of the export.

  3. 03

    Get bulk download file

    Downloads a completed bulk export file. You can grab your data in CSV, Parquet, or ZIP formats once the download status is SUCCEEDED.

  4. 04

    Get datatable

    Fetches unsorted data from a Nasdaq datatable. You can apply specific filters to narrow down results by ticker, date, or other identifiers.

Real work

What teams actually run

01

Rapid Ticker Research

Ask your agent for the latest price action or fundamental data for a specific stock without leaving your IDE.

02

Dataset Exploration

Use the agent to inspect what columns exist in a new Nasdaq table before you attempt to pull data.

03

Large Scale Data Prep

Trigger a bulk download for an entire dataset and have the agent notify you when the file is ready.

04

Economic Indicator Tracking

Automate the collection of macro indicators for use in quantitative research models.

Automate a task

Put Nasdaq Data Link to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Nasdaq Data Link works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Nasdaq Data Link to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

923ms average. Fast in production.

Nasdaq Data Link is checked daily against the live service.

Daily averagePeak 1123ms
Oct 3Today
Fastest day
764ms
Slowest day
1123ms
14-day trend
Improving-11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Nasdaq Data Link, so you can see the experience inside your AI.

It does not authenticate your account with Nasdaq Data Link. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Nasdaq Data Link Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_JetgEjfNYXxZjBKgsK9Eqta1yhwzQLsEOPXl7Hq5/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Nasdaq Data Link capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "nasdaq-data-link-quandl-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JetgEjfNYXxZjBKgsK9Eqta1yhwzQLsEOPXl7Hq5/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Nasdaq Data Link in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Nasdaq Data Link owners hand off.

This MCP is built for professionals who need to move quickly between data discovery and data analysis.

  • 01

    Financial Analysts

    They hand off the task of pulling historical prices and alternative data to the agent.

  • 02

    Data Scientists

    They use the agent to explore dataset schemas and trigger bulk exports for local research.

  • 03

    Quantitative Researchers

    They automate the retrieval of economic indicators to feed directly into their models.

FAQ

Questions Nasdaq Data Link owners ask.

  • 01

    How do I connect this MCP to my AI client?

    You subscribe to the MCP through Vinkius and then connect your client, such as Claude or Cursor, in one click. Vinkius handles the hosting and credential management for you.

  • 02

    What file formats can I download from bulk exports?

    Once a bulk download is processed, you can retrieve the files in CSV, Parquet, or ZIP formats.

  • 03

    Do I need to write code to filter my data?

    No. You can simply tell your AI agent which tickers, dates, or other filters you want to use, and it will execute the get_datatable capability for you.

  • 04

    Can I check the status of a large download?

    Yes. The request_bulk_download capability returns statuses like PENDING, RUNNING, or SUCCEEDED so you can track the progress.

  • 05

    Is this compatible with Cursor or Windsurf?

    Yes. This MCP works with any MCP-compatible client, including Cursor, Windsurf, and VS Code.

  • 06

    How can I filter a datatable for a specific ticker and date range?

    Use the get_datatable capability and provide a JSON string in the filters parameter, such as {"ticker": "AAPL", "date.gt": "2023-01-01"}. This allows you to narrow down results precisely.

  • 07

    How do I check which columns are available in a dataset before querying it?

    Run the get_datatable_metadata capability with the vendor_code and table_code. It will return the table's schema, including column names, types, and which fields support filtering.

  • 08

    What should I do if the dataset is too large for a standard query?

    For very large datasets, use the request_bulk_download capability. This initiates an asynchronous export process. Once the status reaches 'SUCCEEDED', you can use get_bulk_download_file to retrieve the data.

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