How to Use the ToolJet MCP in Cursor

Q: How does Cursor use ToolJet with its MCP Server?

You configure the server by adding it under mcpServers in .cursor/mcp.json. Once set, Agent mode lets the AI call tools like querytable, injecting that live data directly into your code editor.

Q: What kind of actions can I perform with ToolJet and Cursor?

You can read tables using listtables to see schema details, query data with querytable, or write new records with insertrow. All these actions generate live context for the code.

Q: If I run a workflow via ToolJet and Cursor, what happens?

The triggerworkflow tool executes the webhook. This means your AI client initiates a multi-step process in the backend system that's connected to the MCP Server.

Inject live data into code with Cursor and the MCP Server.

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Connect ToolJet MCP to Cursor

Create your Vinkius account to connect ToolJet to Cursor 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 ToolJet with Cursor

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Live Database Context for Code Generation

The `query_table` tool lets your AI agent run a SELECT query against a ToolJet Database table. The result isn't just text; it becomes live context injected right into the code you're writing. This means when Cursor writes that function, it uses real API responses from the database, not some fake stub data.

Automate Code Flow with ToolJet

Need to build a script that runs an external process? Use `trigger_workflow` to invoke a ToolJet Workflow via Webhook. Your agent calls this tool, and the resulting data can be captured and used in your code block. It’s how you make sure complex, multi-step processes execute correctly when writing application logic.

Write Code to Persist Data (MCP Server)

The `insert_row` tool lets the AI client write new records into a ToolJet Database table. You pass the data structure, and it commits the row. This is perfect for generating database interaction code—the agent writes the function that saves the user input directly to your backend tables.

Setup guide

Set up ToolJet MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the ToolJet MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent ToolJet transactions." If the MCP tools are loaded correctly, Cursor will call the ToolJet tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ToolJet. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about ToolJet MCP in Cursor

You configure the server by adding it under `mcpServers` in `.cursor/mcp.json`. Once set, Agent mode lets the AI call tools like `query_table`, injecting that live data directly into your code editor.

You can read tables using `list_tables` to see schema details, query data with `query_table`, or write new records with `insert_row`. All these actions generate live context for the code.

Yes. Since you configure it locally in your project root, the connection is scoped to that project. This makes managing access and dependencies straightforward when working on a team.

It primarily deals with structured database table data—the actual records, columns, and row values from the ToolJet Database. The agent reads these contents to build code.

The `trigger_workflow` tool executes the webhook. This means your AI client initiates a multi-step process in the backend system that's connected to the MCP Server.

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