Easy Data Processor: Merge, Clean, and Transform Your Data avatar
Easy Data Processor: Merge, Clean, and Transform Your Data

Deprecated

Pricing

$9.99/month + usage

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Easy Data Processor: Merge, Clean, and Transform Your Data

Easy Data Processor: Merge, Clean, and Transform Your Data

Deprecated

Developed by

codemaster devops

codemaster devops

Maintained by Community

Meet the Ultimate Data Processor, a human-friendly tool that simplifies your data tasks. With this Apify actor, you can merge datasets, remove duplicates, and transform data quickly and effortlessly, all in one go. Say goodbye to complex processes and hello to streamlined data management

0.0 (0)

Pricing

$9.99/month + usage

0

Total users

2

Monthly users

2

Last modified

9 months ago

You can access the Easy Data Processor: Merge, Clean, and Transform Your Data programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"mcpServers": {
"local-actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"dainty_screw/easy-data-processor-merge-clean-and-transform-your-data"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with Easy Data Processor: Merge, Clean, and Transform Your Data

You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:

{
"mcpServers": {
"remote-actors-mcp-server": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=dainty_screw/easy-data-processor-merge-clean-and-transform-your-data",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.