BaserowをChatGPT、Claude、Geminiに接続

• 01 / 03Baserowへの行追加方法
• 02 / 03スキーマを探索する
• 03 / 03レコードの検索と更新方法

最速日

749ms

最遅日

1118ms

14日間の傾向

安定+4%

Baserow 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_Z34lWZ5owpWDpmV3OREMbmzFWjwcpZS743KcVKV7/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 — Baserow capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "baserow-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Z34lWZ5owpWDpmV3OREMbmzFWjwcpZS743KcVKV7/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？ Baserow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

  プロダクトチーム

  プロジェクト追跡データベースのクエリ実行、タスクステータスの更新、スプリントデータのレビューなどを迅速に行いたい方。

• 02

  開発者

  テーブルスキーマの発見、プログラム的なレコード作成、自然言語によるデータベースコンテンツ管理を行いたい方。

• 03

  データアナリスト

  データスキーマの探索、フィルタリングされたクエリの実行、分析用の行データのエクスポートを効率的に行いたい方。

• 01

  Does this MCP let me see what data is in my databases?

  Yes. You can use capabilities like list_tables and list_rows to view the structure and content of your data. The agent can run filtered queries to pull specific sets of records for you.

• 02

  Can I update or delete data using this connector?

  Absolutely. The MCP provides capabilities to update_row and delete_row. You just need to provide the table ID and the specific row ID, and the agent handles the modification or deletion.

• 03

  What kind of data types can I handle?

  The schema exploration capabilities list various types, including text, number, boolean, date, select, and file. This means your agent can handle most standard no-code database data types.

• 04

  Is this connector only for reading data?

  No. It supports full CRUD operations. You can list, get, create, update, and delete records, making it a comprehensive data management capability.

• 05

  Do I need to write API calls to use this MCP?

  No. The entire point is that your AI agent handles the API calls for you. You just talk to it naturally, and it executes the necessary actions.

• 06

  How do I get a Baserow API Token?

  Log in to your Baserow workspace, go to Database Settings > API Tokens (or Workspace Settings > API Tokens), click Create Token, give it a name and set the permissions (create, read, update, delete) for specific tables. Copy the token immediately. it won't be shown again.

• 07

  Can I create and update rows programmatically?

  Yes! Use create_row with the table ID and a JSON object of field_name: value pairs. Use update_row with the table ID, row ID and the fields to update. First use list_fields to discover the available field names and their types for the table.

• 08

  Can I filter rows by field values?

  Yes! The list_rows capability supports pagination and ordering. Use the page and size parameters for pagination, and order_by to sort by any field (prefix with - for descending). The underlying API also supports field-level filtering through the filter parameter.

• 09

  What field types does Baserow support?

  Baserow supports: text, number, boolean, date, long_text, email, url, single_select, multiple_select, link_row (relationships), file, rating, formula, lookup, rollup, last_modified and created_on fields. Use list_fields to see the exact types in your table.

• 10

  How do I find my Baserow Database Token?

  Log in to your account, navigate to Settings > Database Tokens, and create a new token with appropriate workspace permissions.

• 11

  Can I search for records via AI?

  Yes! The search_rows capability allows your agent to find records across a specific table matching your search criteria programmatically.

• 12

  How do I find Table and Database IDs?

  Use the list_applications capability to find Database IDs, and list_database_tables to find Table IDs within a specific application.

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