Dataset Filter & Transform

io.github.Nero-Enginev0.1.0Updated Oct 1, 2026

Returns rows of any Apify dataset, CSV/Excel/JSON file URL or Google Sheet that pass filter...

VerifiedStreamable HTTPWeb executableData & Analytics

Overview

AI-generated overview

Lets an assistant filter and transform rows from Apify datasets, CSV/Excel/JSON file URLs, or Google Sheets.

What it does
This remote MCP server returns only the rows of a dataset, file, or Google Sheet that pass a filter, and can transform those rows. It accepts Apify datasets, CSV, Excel, and JSON file URLs, and Google Sheets as sources. It runs as a hosted endpoint, so the assistant calls it directly rather than starting a local process.
When to use it
Use it when an assistant needs to narrow down or reshape tabular data from an Apify dataset, a spreadsheet, or a hosted CSV/Excel/JSON file before further analysis. It is a fit for data-cleaning steps inside an Apify-based workflow.
Requirements
A remote MCP endpoint at mcp.apify.com over streamable HTTP. An Apify API token is required, sent in the Authorization header as 'Bearer '. Network access to the endpoint and to the source files or sheets is needed.
Before you install
The Authorization header carries an Apify API token, so treat it as a secret. Runs are billed per event to the Apify account, so usage can cost money. The server reads external file URLs and Google Sheets, which may send that data to a third party.

Installation

In SourceWeft

  1. Open Dataset Filter & Transform in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "dataset-filter-transform-full": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=nerolabs/dataset-filter-transform"
    }
  }
}

Tools

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Version history

1
  1. v0.1.0LatestOct 1, 2026