Natural Language Dataset Query
Pricing
Pay per usage
Natural Language Dataset Query
Use natural language queries to retrieve results from an Apify dataset. This Actor provides a query engine that loads a dataset, executes SQL queries, and synthesizes results. It works as an MCP (Model Context Protocol) server or REST API in Actor standby mode.
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Pricing
Pay per usage
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Total users
1
Monthly users
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Runs succeeded
>99%
Last modified
3 days ago
You can access the Natural Language Dataset Query 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": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/sse?actors=apify/natural-language-dataset-query", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Configure MCP server with Natural Language Dataset Query
You have a few options for interacting with the MCP server:
Use
mcp.apify.comviamcp-remotefrom your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).Set up the connection directly in your MCP client UI by providing the URL
https://mcp.apify.com/sse?actors=apify/natural-language-dataset-queryalong with an API token (or use OAuth).Connect to
mcp.apify.comvia Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=apify/natural-language-dataset-query", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}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.
