How to Use the Xata MCP in Cursor

Q: How do I verify project limits using Xata within Cursor?

Use the agent to run getprojectlimits. The output gives you specific metrics (e.g., max records, concurrent users) that you can immediately reference in your code's validation checks.

Q: Is using the MCP Server with Xata better than hardcoding credentials in Cursor?

Yeah. By having your agent call getbranchcredentials, you keep sensitive connection strings out of your committed files and manage them through the server's secured endpoints.

Inject real Xata database context directly into your code with Cursor's MCP Server support.

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Connect Xata MCP to Cursor

Create your Vinkius account to connect Xata 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 Xata with Cursor

Ask AI about this MCP

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Claude

Perplexity

Query Database Results Inside Your Code

Stop mocking data. You can make the AI execute actual queries using `execute_sql`. The response isn't just a string—it’s live JSON that gets injected directly into the code block you're writing. This means your functions use real-world context, whether you're fetching user counts or checking project limits via `get_project_limits`.

Manage Project Scope and Limits

Need to know if a feature is hitting resource constraints? You can check the boundaries using `get_project_limits`. The agent also lets you scope down by creating new environments with `create_project`. This ensures your code handles potential quota failures gracefully, keeping your development cycle fast.

Securely Handle API Keys and Users

When writing authentication logic, the MCP Server handles key management. You can generate new credentials instantly with `create_user_api_key` or clean up old ones using `delete_user_api_keys`. Listing keys with `list_user_api_keys` keeps your codebase auditable.

Setup guide

Set up Xata 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 Xata 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 Xata transactions." If the MCP tools are loaded correctly, Cursor will call the Xata tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

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Common questions about Xata MCP in Cursor

Not automatically, but it makes the process trivial. You'll call `create_user_api_key` and pass the resulting key directly to your code for immediate use in a function.

Use the agent to run `get_project_limits`. The output gives you specific metrics (e.g., max records, concurrent users) that you can immediately reference in your code's validation checks.

The server manages API keys and project resource limits. These are crucial structured data points that the AI client needs to write functional, context-aware code.

Yeah. By having your agent call `get_branch_credentials`, you keep sensitive connection strings out of your committed files and manage them through the server's secured endpoints.

You are deleting credentials. The specific data type being removed from the system is the `user_api_key` string and its associated access permissions.

Use it with your favorite AI tools

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