Text Processing

Excel 365 LET / LAMBDA / MAKEARRAY / MAP / REDUCE Dynamic-Array Formula Explainer and Reverse Translator

Two-way Excel 365 dynamic-array workbench: expand LET/LAMBDA/MAP/SCAN/REDUCE/BYROW/BYCOL/MAKEARRAY formulas into an AST with step-traced evaluation (LET bindings, lambda first calls, intermediate matrices, optional A1-anchored sample data), and translate plain-English intents like "7-day rolling average" or "running total" into working LAMBDA/MAP/SCAN formulas.

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Quick start

Call this tool from your code in three languages.

cURL

curl -X POST 'http://127.0.0.1:3003/en/api/tools/excel-365-let-lambda-makearray-map-reduce-dynamic-array-formula-explainer-and-reverse-translator' \
  -H 'Content-Type: application/json' \
  -d '{"mode":"expand","formulaInput":"=LET(x, SEQUENCE(5), y, x*2, SUM(y))","intentInput":"","sampleData":""}'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP

POST http://127.0.0.1:3003/en/api/tools/excel-365-let-lambda-makearray-map-reduce-dynamic-array-formula-explainer-and-reverse-translator

Parameters

Name	Type	Required	Description
mode	select	No	—
formulaInput	text	No	—
intentInput	text	No	—
sampleData	textarea	No	—

Response format

HTML result

JSON

{
  "result": "<div>Processed HTML content</div>",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json

{
  "mcpServers": {
    "elysiatools-excel-365-let-lambda-makearray-map-reduce-dynamic-array-formula-explainer-and-reverse-translator": {
      "name": "excel-365-let-lambda-makearray-map-reduce-dynamic-array-formula-explainer-and-reverse-translator",
      "description": "Two-way Excel 365 dynamic-array workbench: expand LET/LAMBDA/MAP/SCAN/REDUCE/BYROW/BYCOL/MAKEARRAY formulas into an AST with step-traced evaluation (LET bindings, lambda first calls, intermediate matrices, optional A1-anchored sample data), and translate plain-English intents like \"7-day rolling average\" or \"running total\" into working LAMBDA/MAP/SCAN formulas.",
      "baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=excel-365-let-lambda-makearray-map-reduce-dynamic-array-formula-explainer-and-reverse-translator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "excel-365-let-lambda-makearray-map-reduce-dynamic-array-formula-explainer-and-reverse-translator",
    "arguments": {
  "mode": "expand",
  "formulaInput": "=LET(x, SEQUENCE(5), y, x*2, SUM(y))",
  "intentInput": "",
  "sampleData": ""
}
  }
}

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