🔥fireSummarize AI Summarize any Website Content avatar
🔥fireSummarize AI Summarize any Website Content

Pricing

$15.00 / 1,000 summaries

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🔥fireSummarize AI Summarize any Website Content

🔥fireSummarize AI Summarize any Website Content

Developed by

mohamed el hadi msaid

mohamed el hadi msaid

Maintained by Community

fireSummarize is an AI-powered tool that scrapes any website using Crawlee and Puppeteer, extracts and converts content into Markdown, and then summarizes it using a custom prompt — perfect for generating clean, structured insights from any webpage.

5.0 (1)

Pricing

$15.00 / 1,000 summaries

1

Total users

3

Monthly users

3

Runs succeeded

>99%

Last modified

5 days ago

You can access the 🔥fireSummarize AI Summarize any Website Content 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=mohamedgb00714/firescraper-ai-sammarize-website-content",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with 🔥fireSummarize AI Summarize any Website Content

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from 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=mohamedgb00714/firescraper-ai-sammarize-website-content along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=mohamedgb00714/firescraper-ai-sammarize-website-content",
"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.