Is this MCP only for Airtable users?

No. This MCP connects to Baserow, which is an open-source, no-code relational database alternative. It gives your AI agent full control over your Baserow data.

What kind of data can my AI agent manage?

Your agent can manage structured data. This includes creating, updating, deleting, and retrieving records and fields across your various workspaces and tables.

Do I need to write code to use this?

No. The whole point is that your AI acts as the interface. You use natural language commands, and the agent handles the complex API calls behind the scenes.

How do I get started with the capabilities?

After connecting your AI client and providing the required Database Token, you can start by asking simple questions, like 'List all my active workspaces,' to see what's available.

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.

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.

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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Connect Baserow (Alternative) to ChatGPT, Claude and Gemini

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. Manage structured data and workflows using only conversation.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

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.

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 · 9 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-03

3 capabilities in this set.

Part of 9 available through Baserow.

01
Delete row
Delete a specific row
02
Get row
Get details for a specific row
03
List fields
List fields in a table

Capability set02 / 03

04-06

3 capabilities in this set.

Part of 9 available through Baserow.

04
List applications
List all Baserow applications (databases)
05
List tables
List tables in a database
06
List workspaces
List all Baserow workspaces

Capability set03 / 03

07-09

3 capabilities in this set.

Part of 9 available through Baserow.

07
Create row
Provide data as a JSON string of field names and values. Create a new row in a table
08
List rows
Supports search and pagination. List rows in a table
09
Update row
Provide data as a JSON string. Update an existing row

Real work

What teams actually run

Updating Project Statuses

Instead of opening a spreadsheet, you simply ask your agent to change the status of 'Project Alpha' to 'In Review' in the Project Tracker table.

Onboarding New Clients

You can ask your agent to create a new row for a client, populating all necessary fields like contact info and service plan.

Auditing Data Integrity

You ask the agent to list all records from the last month that haven't been updated, helping you spot potential data gaps.

Schema Verification

If you're unsure what fields exist in a table, you ask the agent to list the fields, giving you an immediate map of the data structure.

Automate a task

Put Baserow 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

Baserow 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.

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

You don't need a client to put Baserow 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

747ms average. Fast in production.

Baserow is checked daily against the live service.

Daily averagePeak 917ms

Oct 3Today

Fastest day: 631ms
Slowest day: 917ms
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. 9 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_0Bte2TwwdsjYuutsv8sPzXLy42nXv8jlCj2X7Sui/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Baserow capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "baserow-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_0Bte2TwwdsjYuutsv8sPzXLy42nXv8jlCj2X7Sui/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 Baserow in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Baserow owners hand off.

This MCP is built for teams that rely on structured, no-code backends. If your job involves managing project statuses, tracking customer data, or coordinating complex information across multiple tables, your AI client can handle it. It lets you treat your database like a conversation.

01
Project Managers
Instantly retrieve project records and update statuses using natural language commands.
02
Data Analysts
Automate the collection of structured information and manage relational tables without leaving your workspace.
03
Developers
Integrate high-speed no-code backends into custom business workflows through simple AI queries.

FAQ

Questions Baserow owners ask.

01
Is this MCP only for Airtable users?
No. This MCP connects to Baserow, which is an open-source, no-code relational database alternative. It gives your AI agent full control over your Baserow data.
02
What kind of data can my AI agent manage?
Your agent can manage structured data. This includes creating, updating, deleting, and retrieving records and fields across your various workspaces and tables.
03
Do I need to write code to use this?
No. The whole point is that your AI acts as the interface. You use natural language commands, and the agent handles the complex API calls behind the scenes.
04
How do I get started with the capabilities?
After connecting your AI client and providing the required Database Token, you can start by asking simple questions, like 'List all my active workspaces,' to see what's available.
05
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.
06
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.
07
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.

Explore

More in Developer Tools

Connect Baserow to Claude, Cursor, ChatGPT & more

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

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Delete row

Get row

List fields

04-06

List applications

List tables

List workspaces

07-09

Create row

List rows

Update row

What teams actually run

Updating Project Statuses

Onboarding New Clients

Auditing Data Integrity

Schema Verification

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

Baserow Connector

Claude Desktop

Project Managers

Data Analysts

Developers

Is this MCP only for Airtable users?

What kind of data can my AI agent manage?

Do I need to write code to use this?

How do I get started with the capabilities?

How do I find my Baserow Database Token?

Can I search for records via AI?

How do I find Table and Database IDs?

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