This guide details how to connect your Baserow workspace directly to Cursor using the Model Context Protocol (MCP). By configuring Baserow as an MCP server, you enable Cursor’s built-in AI models to securely query, manipulate, and structure your database records using natural language prompts directly from your editor.
This native connection relies on standardized dynamic schema routing. Rather than building custom REST API calls or webhooks for every database interaction, the MCP bridge allows Cursor to automatically discover your table structures and execute CRUD (Create, Read, Update, Delete) operations seamlessly.
In a typical enterprise environment, developers constantly switch context between their IDE, database GUIs, and API documentation to manage application data.
By integrating Baserow with Cursor via MCP, you create a unified workflow:
Environment column to a table, Cursor instantly knows it exists without any configuration changes.Before configuring Cursor, you must generate a secure MCP URL from your Baserow workspace. This URL acts as the authentication token and routing endpoint for the integration.
Cursor_Local_Dev_Environment) and select the specific workspace you want Cursor to access.⚠️ This URL contains credentials granting programmatic read/write access to your workspace. Treat it exactly like a production API Secret. Never commit this URL to your codebase or
.envfiles that might be pushed to version control.
Once you have your Baserow endpoint, you need to add it to Cursor’s local environment settings.
Open Cursor’s settings panel (Use ⇧ + ⌘ + J on Mac).
Navigate to the MCP tab in the settings menu.
Click the Add MCP Server button.
Paste the following JSON configuration, replacing "YOUR_MCP_URL_HERE" with the secure URL you generated in Baserow:
`{
"mcpServers": {
"Baserow MCP": {
"url": "YOUR_MCP_URL_HERE"
}
}
}`
Save your configuration. Cursor is now securely linked to your Baserow workspace.
Once connected, you can leverage Cursor’s prompt interface to interact with templates like the Software Bug Tracker or Agile Project Management bases.
The MCP integration translates natural language into standard API operations, meaning it can perform destructive actions like deleting records if instructed. However, you should utilize high-parameter models (like Claude 3.5 Sonnet within Cursor) and explicitly prompt the AI to preview deletions: “Show me the records you are going to delete before you execute the command.” For absolute security, limit the workspace permissions of the account that generated the MCP URL.
No configuration changes are required. The MCP integration is purely dynamic. Simply tell Cursor: “The schema has updated, please refresh your view of the tables,” or just use the new column name in your next prompt. Cursor will read the live schema from the endpoint and adapt instantly.
No. The MCP server functions as a one-way command bridge. Cursor sends standard CRUD requests (translated from your prompts) to Baserow to fetch or modify data. Your local source code files remain within your IDE and the LLM provider; they are not stored in or transmitted to your Baserow database unless you explicitly command Cursor to copy specific code snippets into a text field in a table.
This usually happens if the AI lacks context on your specific workspace structure. To fix this, refine your prompt to trigger introspection. Ask Cursor: “List all the tables available in the current Baserow MCP workspace.” Once Cursor reads the schema aloud, it will successfully cache the table names and your subsequent queries will work.