What does MCP Enricher — Look Up Every Row in Your Own Apps return?

It returns 5 documented output fields: tool, reason, unmapped, args and status. Each field declares its type, a description of what it holds, and an example value.

What input does MCP Enricher — Look Up Every Row in Your Own Apps take?

All 9 inputs are optional and ship with usable defaults, so it runs as-is. They are listed with their types below.

Does MCP Enricher — Look Up Every Row in Your Own Apps need an API key or login?

No. None of its inputs is a credential, and it reads only public data. Nothing to sign up for before the first run.

How do I run MCP Enricher — Look Up Every Row in Your Own Apps?

It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.

MCP Enricher — Look Up Every Row in Your Own Apps

Enrich every row of a dataset by calling a tool on an app you connected as an Apify MCP connector — a CRM, a project tracker, an internal database — and merge the reply back into the row. Your credentials never touch the Actor. Dry run by default.

MCP Enricher — Look Up Every Row in Your Own Apps returns 5 documented output fields, including tool, reason, unmapped, args and status. Every field carries a declared type, a written description and an example value. 1 runs are recorded on Apify.

Run it on ApifyPay per result · no subscription

5: Output fields
9: Inputs
1: Run
2026-10-16: Last run

01 — output

What it returns

Every field the extractor writes to its dataset, with its type, a written description and an example value.

Field	Type	What it holds	Example
tool	string \| number \| boolean \| array \| objectnull	Tool as recorded for this row.	[]
reason	stringnull	Why this row carries its status.	matched
unmapped	arraynull	Unmapped as recorded for this row.	[]
args	string \| number \| boolean \| array \| objectnull	Args as recorded for this row.	[]
status	string \| number \| boolean \| array \| objectnull	Outcome recorded for this row.	ok

02 — sample

One record

Assembled from the example values declared on the schema above, not invented at render time.

{
  "tool": "[]",
  "reason": "matched",
  "unmapped": [],
  "args": "[]",
  "status": "ok"
}

03 — input

What you give it

Input	Type	Description
connector	stringoptional	The app to query. Authorise it once in Settings → API & Integrations, then pick it here. The Actor never sees your credentials — the platform injects them server-side.
datasetId	stringoptional	The dataset id from a previous run (its defaultDatasetId). Leave empty to use 'items' below instead.
items	arrayoptional	Rows supplied directly, one object per row. Used only when 'datasetId' is empty.
toolName	stringoptional	Leave empty and the Actor picks the tool that looks like a lookup (get, search, find, list, read…), and tells you which it chose. Name one to be exact — a name that does not exist is refused rather than substituted.
fieldMap	stringoptional	JSON mapping from the tool's argument names to your row's field names, e.g. {"query":"company_name"}. Leave empty and row fields whose names the tool already declares are passed through unchanged.
outputField	stringoptional	The field the tool's reply is written into. The companion fields <name>_ok, <name>_error and <name>_tool are written beside it, so a failed lookup is visible rather than blank.
maxItems	integeroptional	Hard limit on tool calls. The first N rows are enriched, in the order the dataset gives them.
skipOnError	booleanoptional	ON by default: a row the tool could not answer is kept with its error recorded, and the run continues. Turn it off to stop at the first failure.
dryRun	booleanoptional	ON by default. Reports the tools the connector offers, which one would be called, and the exact arguments for the first row, without calling it.

04 — run

Run MCP Enricher on your own input

It runs in the cloud on Apify. Nothing to install, and you are billed per result returned rather than per attempt.

Open on Apify ↗

Also in integrations, developer tools, automation

05 — questions

Asked before running it

5 of 5 fields described

What does MCP Enricher — Look Up Every Row in Your Own Apps return?: It returns 5 documented output fields: tool, reason, unmapped, args and status. Each field declares its type, a description of what it holds, and an example value.
What input does MCP Enricher — Look Up Every Row in Your Own Apps take?: All 9 inputs are optional and ship with usable defaults, so it runs as-is. They are listed with their types below.
Does MCP Enricher — Look Up Every Row in Your Own Apps need an API key or login?: No. None of its inputs is a credential, and it reads only public data. Nothing to sign up for before the first run.
How do I run MCP Enricher — Look Up Every Row in Your Own Apps?: It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.