How to Connect MX Technologies to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of MX Technologies

You have a Google Sheet full of data — user GUIDs, account lists, transaction exports pulled from previous runs. You need it pushed into MX Technologies, or you need to pull financial aggregation data back out, without spending half your afternoon copying from an API response or massaging a CSV.

MX Technologies is good at aggregating account, transaction, and balance data from thousands of financial institutions in one place. But moving that data into your spreadsheet is more friction than it should be. The usual flow is: hit the MX API, parse the JSON, copy the fields you care about, paste them into the right columns, and then do it again next week.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: Manual Copy-Paste

The default. Open the MX developer dashboard or fire a raw API call in your browser or Postman, scroll through JSON responses showing dozens of account objects and transaction records, then pick out the fields you need and paste them row by row into your sheet.

It works the first time. For a one-off report for a single client, you can get through it.

But MX data has a particular rhythm to it: accounts nest under members, which nest under users, and transactions live another level down. Getting a clean flat view of a single user's 90-day transaction history involves at least three separate API calls, each with its own pagination. Once you need to do this for ten clients, or once it becomes a weekly reconciliation, the repetition starts to feel like punishment.

Method 2: Zapier or Make

Both platforms have MX connector options. You can set a schedule or a row-change trigger, call the MX API for a specific user, and write results into your sheet.

Before you go down this path — do you know what a paginated API cursor is? Can you write a loop in Zapier to collect all records across multiple pages? Do you know how to handle MX member-level scoping versus user-level scoping? If those feel like foreign concepts right now, skip to Method 3 or 4. This path requires that fluency.

If you're still here: the automation itself is buildable. You pick a trigger, authenticate to MX, call the right endpoint, and map the response fields to sheet columns. It works.

The structural problem is that a trigger fires for one context at a time. One user, one member, one date range. Anything that pulls across all users, or aggregates across members, or compares this month's transactions to last month's budget — that requires chaining steps, conditional logic, and a growing task graph that becomes expensive to debug.

You probably just need the transaction data for a client review. You probably have no idea how MX paginates member accounts — and there's no reason you should. So you hand it to whoever on your team understands API automations, and now you're waiting on Slack to find out if it's done. If they even got to it.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the go-to for repeatable sheet-to-API workflows was a category of add-ons that let you configure column mappings manually, save templates, and re-run them. You defined the endpoint, tagged the response fields, lined them up with your columns, and hit run.

That was a genuine improvement over copy-paste. The template was reusable, the output was consistent, and you didn't have to redo the field alignment every time.

But you were still responsible for every decision: which endpoint to call, how to handle pagination, how to flatten the nested MX response structure, what to do when a member came back with no accounts. The tool moved the data, but all the thinking stayed with you. And if MX updated their field names or you renamed a column in the sheet, the template broke until someone went back in and repaired it.

This is the previous generation. Functional, but asking a lot.

The Easy Way: Using SheetXAI in Google Sheets

There is a different approach entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands what you are looking at, and through its built-in MX Technologies integration it can pull transaction data, account balances, member lists, or any other MX resource directly into your columns. No endpoint configuration, no pagination logic, no field mapping templates. You just ask.

Example 1: Pull all transactions for a user over the last 90 days

Fetch all transactions for MX user USR-abc123 from the last 90 days and write each transaction's date, description, amount, category, and account name to Sheet1 starting at row 2.

Every transaction lands in its own row. Date goes to column A, description to B, amount to C, category to D, account name to E. If there are multiple pages, SheetXAI handles the cursor automatically.

Example 2: Compare budgets to actual spend in one pass

List all budgets for MX user USR-abc123 and write category name, budget amount, and actual spend to columns A, B, and C — then in column D calculate variance and flag any category where actual spend exceeds the budget.

The pattern: instead of pulling budgets and then pulling transactions separately and then doing the math by hand, you ask for the comparison in one prompt. SheetXAI runs the reads and writes the formula inline.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet that contains MX user GUIDs or account data, then ask it to pull transactions, balances, or budget comparisons for those users. The MX Technologies integration is included in every SheetXAI plan.