Nasdaq Data Link QuandlをChatGPTとClaudeに接続

• 01 / 03大量データ書き出しの自動化について
• 02 / 03市場データの取得方法
• 03 / 03スキーマを調査する

最速日

764ms

最遅日

1123ms

14日間の傾向

改善傾向-11%

Nasdaq Data Link Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_JetgEjfNYXxZjBKgsK9Eqta1yhwzQLsEOPXl7Hq5/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

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.

設定 · claude_desktop_config.jsonコピー

{
  "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

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Nasdaq Data LinkをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  金融アナリスト

  複雑なAPIスクリプトを記述することなく、過去の価格データやオルタナティブデータを迅速に取得できます。

• 02

  データサイエンティスト

  リサーチ環境から直接、データセットのスキーマを確認し、大量のデータを一括エクスポートできます。

• 03

  クオンツリサーチャー

  モデルの入力用として、経済指標やファンダメンタルデータの取得を自動化できます。

• 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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