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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Baserow with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage no-code databases via Baserow. list tables, query rows, create records and manage schemas from any AI agent.

Included with plan

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

Complete set · 10 capabilities

The complete Baserow capability set.

These are the exact actions your AI can choose when you ask it to work with Baserow.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Baserow.

  1. 01

    List databases

    Each database shows its ID, name, workspace and creation date. Use this to discover available databases before querying their tables. List all Baserow databases

  2. 02

    List fields

    Each field shows its ID, name, type (text, number, boolean, date, single_select, long_text, link_row, file, etc.), order and required status. Use this to understand the data schema before querying or creating rows. List fields (columns) of a Baserow table

  3. 03

    List tables

    Each table shows its ID, name, database, field count and creation date. Use this to discover the data schema before querying rows. List all tables accessible in Baserow

  4. 04

    List views

    Each view shows its ID, name, type, filter settings and sort rules. Useful for understanding how data is organized and filtered in the UI. List views configured for a Baserow table

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Baserow.

  1. 05

    Create row

    Requires the table ID and a JSON object with field_name: value pairs matching the table schema. Use list_fields to discover available field names. Returns the created row with its ID and all field values. Create a new row in a Baserow table

  2. 06

    Delete row

    Provide the table ID and row ID. WARNING: this action is irreversible. Delete a row from a Baserow table

  3. 07

    Get row

    Field names are returned in user-readable format. Provide the table ID and row ID. Get a specific row from a Baserow table

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Baserow.

  1. 08

    Get table

    Provide the table ID from list_tables. Get details for a specific Baserow table

  2. 09

    List rows

    Optionally filter by field values (using user_field_names) and set page/size for pagination. Results include count, next/previous page URLs and the rows array. Use field names (not IDs) for readable results. List rows in a Baserow table

  3. 10

    Update row

    Requires the table ID, row ID and a JSON object with field_name: value pairs for the fields to update. Only provided fields will be modified. Use list_fields to discover available field names. Update an existing row in a Baserow table

Observed, not estimated

891ms average. Fast in production.

Baserow is checked daily against the live service.

Daily averagePeak 1338ms
Aug 20Today
Fastest day
771ms
Slowest day
1338ms
14-day trend
Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 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 Baserow, so you can see the experience inside your AI.

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

Baserow Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Z34lWZ5owpWDpmV3OREMbmzFWjwcpZS743KcVKV7/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 — Baserow capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "baserow-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Z34lWZ5owpWDpmV3OREMbmzFWjwcpZS743KcVKV7/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

FAQ

Questions Baserow owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.

  • 04

    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.

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