How to Use the FieldAware MCP in Cursor

Q: How do I add the FieldAware MCP Server to Cursor?

Create a .cursor/mcp.json file in your project root and add the FieldAware server configuration. Once saved, enable Agent mode in your Cursor chat to begin calling the tools.

Q: How does Cursor use FieldAware data to write better API integrations?

Cursor reads real payloads from listitems and listcontacts to understand the exact types and fields your API returns. This allows the AI to write type-safe code without relying on generic placeholders.

Build custom field service integrations in Cursor using live FieldAware API context to write production-ready code.

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Connect FieldAware MCP to Cursor

Create your Vinkius account to connect FieldAware 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 FieldAware with Cursor

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Claude

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Generate FieldAware code in Cursor with live context

The `create_job` tool provides live API context inside Cursor so you can build accurate dispatch integrations. Instead of writing stubs or guessing JSON structures, the editor calls `get_job` to see exactly how your production data is shaped. Cursor uses these live responses to generate accurate TypeScript or Python integrations on the fly. You get working code that maps directly to your active field operations without reading outdated API documentation.

Inspect customer and asset databases while coding

The `list_assets` tool queries your live equipment database directly from your Cursor workspace. The editor pulls real customer profiles with `get_customer` and `list_customers` to ensure your front-end components render the correct UI fields. This live connection means your developer agent can write precise sorting and filtering logic. You don't have to export CSVs or run manual SQL queries to check if your code matches your actual field assets.

Build billing integrations with real financial data

The `list_invoices` tool pulls financial records into Cursor to verify your billing integration code. You can test your sync scripts against real line items retrieved via `list_items` and `list_quotes` to catch edge cases before deployment. By using `get_invoice` directly inside your coding workspace, you can see how tax rates and discounts are structured. This prevents production errors when your code writes financial updates back to the API.

Setup guide

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

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FieldAware. 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 FieldAware MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and add the FieldAware server configuration. Once saved, enable Agent mode in your Cursor chat to begin calling the tools.

Yes, if you instruct the Cursor agent to create a test record, it will call `create_job` with the parameters you specify. You can immediately verify the write succeeded by running `list_jobs` in the chat window.

Cursor reads real payloads from `list_items` and `list_contacts` to understand the exact types and fields your API returns. This allows the AI to write type-safe code without relying on generic placeholders.

No, the server connects directly to your cloud instance via the Vinkius gateway, allowing Cursor to read live assets and invoices securely from anywhere.

Your API keys are stored securely in Vinkius, and only raw tool outputs like invoice details from `get_invoice` pass through Cursor's local context window. No database credentials or raw network packets are ever exposed to external servers.

Use it with your favorite AI tools

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