How to Connect MX Technologies to Excel (4 Methods Compared)

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

You have an Excel workbook full of data — user GUIDs, client account lists, columns of transaction records exported from previous reporting cycles. You need it synchronized with MX Technologies, or you need to pull fresh financial aggregation data back into the workbook, without manually working through API calls and JSON responses every time.

MX Technologies is good at aggregating account, transaction, and balance data from thousands of financial institutions in a single platform. But getting that data into Excel is more work than it deserves. The typical flow involves downloading a CSV from the MX developer console or running an API call externally, reshaping the output to match your workbook columns, and importing it — a process that rarely survives two weeks without something going wrong.

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

Method 1: Manual Export and Import

The default for Excel users. Export a CSV from the MX developer console if one is available, or use Postman to call the API, copy the JSON fields you care about into a flat structure, save it as CSV, and import it into your workbook. Then clean the column headers, fix the date formats, and re-apply any formulas that reference those columns.

For a one-off client review, you can push through it.

But MX's data model has layers: users contain members, members contain accounts, accounts contain transactions. Getting a flat, importable view of a single user's 90-day transaction history involves multiple API calls with pagination. When that becomes a monthly task for a roster of clients, the CSV-import cycle turns into a real drain — not because any one step is hard, but because there are so many of them and none of them remember where you left off last month.

Method 2: Power Automate

Power Automate has HTTP action support that can call the MX API, and you can wire up a scheduled flow that writes results to an Excel table in OneDrive or SharePoint.

Before you commit to this path — are you comfortable building multi-step HTTP request chains in Power Automate? Do you know how to handle paginated API responses by looping through cursor values? Do you understand how MX scopes transactions to member GUIDs rather than user GUIDs? If those questions produce any hesitation, skip ahead to Method 3 or 4. The automation path assumes that baseline.

If you're still reading: the flow is buildable. You configure an HTTP action against the MX API, parse the body, iterate through the records, and append rows to your Excel table. It works reliably once it's wired up.

The constraint is scope. A Power Automate flow fires against one context at a time — one user, one member, one date range per run. Anything that spans multiple users, compares across time periods, or joins transaction data against budget data requires chaining multiple flows with shared state, and that complexity compounds fast.

You probably just need the account balances for a client meeting this afternoon. You probably have no idea how to configure a multi-step HTTP loop in Power Automate — and building that capability from scratch is not what your day is supposed to look like. So you either skip the live data and go with stale numbers, or you ask a technical colleague and wait.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best available option for repeatable workbook-to-API workflows was a category of Excel add-ons that let you define column mappings, save query templates, and run them on demand. You pointed the tool at an endpoint, lined up the response fields with your columns, and scheduled the refresh.

That was a meaningful step up from manual imports. The template was reusable, the formatting stayed consistent, and you did not have to re-map columns every run.

But you still owned all the configuration decisions: which endpoint, how to paginate, how to flatten MX's nested response structure, what to do when an account had no transactions for the period. The tool executed the transfer. Every decision about what to transfer and how stayed with you. And when MX adjusted a field name or your workbook structure changed, the template needed manual repair.

The previous generation. It worked, but it asked a lot of the operator.

The Easy Way: Using SheetXAI in Excel

There is a fundamentally different approach. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you are looking at, and through its built-in MX Technologies integration it can pull transaction data, account balances, savings goals, or any other MX resource directly into your columns. No query templates, no pagination logic, no column mapping to maintain. You just ask.

Example 1: Pull all accounts and calculate net worth

List all accounts for MX user USR-abc123 and write account name, institution, type, and current balance to columns A through D — then in a Summary worksheet show total assets minus total liabilities as net worth.

Every account lands in its own row. The Summary worksheet gets a single net worth cell calculated automatically from the data that just came in.

Example 2: Fetch transactions for a specific institution connection

Fetch all transactions for MX member MBR-xyz789 from January 1 to March 31 and write transaction date, description, amount, and merchant name to columns A through D in Sheet1.

The pattern: instead of running the API call externally, reshaping the output, and importing it, you ask for the data directly. SheetXAI handles the MX member scoping and writes results in place.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook that contains MX user or member GUIDs, then ask it to pull account balances, transactions, or savings goals for your clients. The MX Technologies integration is included in every SheetXAI plan.