Dataset MCP Uploader

Dataset MCP Uploader allows you to process datasets on the Apify platform and then publish the results on other platforms that support the MCP protocol

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Lukáš Křivka

Actor stats

Bookmarked

Total users

Monthly active users

8 hours ago

Last modified

Categories

Agents

Automation

You can access the Dataset MCP Uploader 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=lukaskrivka/dataset-mcp-uploader",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Dataset MCP Uploader

Get a ready-to-use configuration for your MCP client with the Dataset MCP Uploader Actor preconfigured at mcp.apify.com?tools=lukaskrivka/dataset-mcp-uploader .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other 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.