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Vinkius

Baserow Connector for AI agents.

10 live capabilities

Manage and query no-code database records through natural conversation.

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AI Agent

Why people use Baserow

Baserow for No-Code Database Management

This Connector puts the database inside your conversation. You just tell your agent to add a new client named Acme, and it happens. You get to stay in your flow while the agent handles the tedious clicking and data entry.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a conversational interface for your no-code database without any manual data entry.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Updating Project Status

    A project manager asks the agent to 'mark all tasks for Alice as completed,' and the agent updates dozens of rows instantly using `update_row`.

  2. Real-world use case 02

    Onboarding New Clients

    A sales lead tells the agent to 'create a new client record for Acme Corp with a Gold status,' and the agent populates the table using `create_row`.

  3. Real-world use case 03

    Data Auditing

    A dev asks the agent to 'list all rows in the Bug Reports table where the priority is high,' getting a clean summary of issues using `list_rows`.

Complete set · 10capabilities

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 Capability

    Delete row

    Removes a specific record from a table using its unique row ID. Use this to clean up your database records.

  2. 02 Capability

    Get row

    Fetches the data for a single row and returns it in a readable format. Use it to quickly check a specific record.

  3. 03 Capability

    Get table

    Retrieves the specific details and configuration for a single Baserow table. It helps your agent understand table context.

  4. 04 Capability

    List databases

    Shows all databases you have access to, including their IDs and workspace names. Use this for initial discovery.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through Baserow.

  1. 05 Capability

    List fields

    Displays all columns in a table, including their types and required status. This is how your agent learns your schema.

  2. 06 Capability

    List rows

    Pulls a list of rows from a table with optional filtering and pagination. It's the primary way to query your data.

  3. 07 Capability

    List tables

    Lists every table in your Baserow account so you can see what's available. Use this to browse your data structure.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through Baserow.

  1. 08 Capability

    List views

    Shows all configured views like Kanban or Gallery and their specific filter rules. It helps your agent see how you work.

  2. 09 Capability

    Update row

    Modifies specific fields in an existing row without changing the rest of the data. It's the best way to perform updates.

  3. 10 Capability

    Create row

    Adds a new entry to a specific table using a JSON object of field names and values. It's perfect for quick data entry.

Set up in minutes

One URL. Then ask Baserow to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Baserow from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_Z34lWZ5owpWDpmV3OREMbmzFWjwcpZS743KcVKV7/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Baserow, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Baserow for the conversation.

Where the request belongs

Work Baserow can move forward.

Built around the request

This is for the project manager buried in spreadsheets, the dev who needs to seed data without writing scripts, and the analyst who spends more time filtering than thinking.

01

Project Manager

Updates task statuses and tracks sprint progress via chat instead of manual clicking through multiple tabs.

02

Backend Developer

Queries table schemas and creates test records programmatically through natural language to speed up dev cycles.

03

Data Analyst

Runs filtered queries to pull specific row sets for reporting without building complex manual filters in the UI.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
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01 9 capabilities

Baserow

Build no-code databases, create custom views, and collaborate on structured data with an open-source Airtable alternative.

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02 10 capabilities

Feishu Bitable

Collaborative multi-dimensional table platform by Lark. manage bases, tables, and records via AI.

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Airtable logo
03 7 capabilities

Airtable

Query databases, manage records, and orchestrate workflows across your connected Airtable bases with full flexibility.

View Connector
Ninox logo
04 8 capabilities

Ninox

Build custom business databases and apps with a visual platform that replaces spreadsheets with structured, relational data.

View Connector
SeaTable logo
05 11 capabilities

SeaTable

Build collaborative databases with spreadsheet simplicity and relational power for project management, CRM, and asset tracking.

View Connector
Knack logo
06 10 capabilities

Knack

Manage your Knack database. list objects, query records, and perform CRUD operations via natural language.

View Connector

Bring your own AI

Change the model, client or framework. Keep Baserow connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
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  • Roo Code
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  • Pieces
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  • Chorus
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  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Baserow.

The practical details behind the request, access and result.

Can the Baserow MCP create new records for me?

Yes, it can. Your agent can use the create_row capability to add new entries to any table you give it access to.

How do I let my agent see my database schema?

The Connector includes capabilities like list_tables and list_fields. Your agent will use these to understand your columns and data types automatically.

Can I use the Baserow MCP to update existing data?

Absolutely. You can tell your agent to change specific fields in a row, like updating a status or a deadline, using the update_row capability.

Will the Baserow MCP delete my data?

It has a delete_row capability, but it's only used when you specifically ask your agent to remove a record. It's always best to be clear with your instructions.

Does the Baserow MCP work with my custom views?

Yes, it can list your configured views. This helps your agent understand how you've organized your data in the gallery or kanban layouts.

Is the Baserow MCP safe for my private data?

Your data stays in Baserow. The Connector just provides a bridge for your agent to perform actions on your behalf using your own database token.

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.

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.

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.

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.

One connection away

Give your agent a direct line to Baserow.

Connect Baserow once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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