How to Use the Baserow MCP in Cline

Q: Can Cline read my Baserow view filters?

Yes. The agent uses listviews to see exactly how your data is sorted and filtered in the web UI. This helps it replicate those same filters in your frontend code.

Q: Why did my Baserow row update fail in Cline?

You likely have a schema mismatch. Tell the agent to run listfields to verify the required column names and types before it tries to execute updaterow again.

Turn Cline into a full-stack developer that builds components using live Baserow data inside VS Code.

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Connect Baserow MCP to Cline

Create your Vinkius account to connect Baserow to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Baserow with Cline

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Build features with live data

Hardcoding mock data slows down Baserow component development. Cline fixes this by fetching real entries directly from your workspace. It uses `list_rows` to pull actual content, then writes the React or Vue code to display it. You ask for a dashboard, and the agent does the rest. It inspects the backend schema via `list_fields`, imports the necessary API hooks, and maps the live values to your frontend components.

Write to Baserow from VS Code

Testing Baserow form submissions usually means writing temporary fetch requests. Cline can bypass that entirely. It formats the exact JSON payload required and triggers `create_row` to push test data straight into your tables. If a test fails or needs adjustment, the agent cleans up after itself. It grabs the record ID with `get_row` and fires a `delete_row` command to keep your database clean.

Install the Baserow MCP Server

Connecting this MCP Server to your IDE gives your agent instant backend access. You open the Cline sidebar, click the MCP icon, and add the remote server URL. The agent immediately recognizes the new capabilities. It starts querying `list_databases` and `list_tables` to understand your workspace architecture without needing a separate API key for every request.

Setup guide

Set up Baserow MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type baserow-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Baserow refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "baserow-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Baserow MCP in Cline

Open the Cline sidebar in VS Code and click the MCP Servers icon. Go to the Remote Servers tab to add the HTTP transport URL, or edit `cline_mcp_settings.json` directly.

Yes. The agent uses `list_views` to see exactly how your data is sorted and filtered in the web UI. This helps it replicate those same filters in your frontend code.

Not initially. You can just point it at a workspace. The agent runs `list_databases` followed by `list_tables` to find the correct IDs for your project.

You likely have a schema mismatch. Tell the agent to run `list_fields` to verify the required column names and types before it tries to execute `update_row` again.

You only provide a single endpoint token to Vinkius, which handles the actual database authentication. The server accesses your raw row values and schema definitions through a zero-trust, ephemeral sandbox that leaves no trace on our servers.

Use it with your favorite AI tools

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