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News Aggregator AI Agent

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This Actor is paid per event

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News Aggregator AI Agent

News Aggregator AI Agent

harvestlabs/news-aggregator-ai-agent
Try for free

This Actor is paid per event

Scrapes and aggregates top news stories based on a given search query. It uses AI to extract the core topic from the query, fetch relevant articles, and compile a well-structured newsletter summarizing the most important stories.

Developer
Maintained by Community

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  • 2 monthly users

  • No reviews yet

  • No bookmarks yet

  • >99% runs succeeded

  • Created in Mar 2025

  • Modified a day ago

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You can access the News Aggregator AI Agent 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.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=harvestlabs/news-aggregator-ai-agent"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using News Aggregator AI Agent via Model Context Protocol (MCP) server

MCP server lets you use News Aggregator AI Agent within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the News Aggregator AI Agent Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "newsRequest": "What'\''s going on with the USA tariffs?"
8},
9    "name": "harvestlabs/news-aggregator-ai-agent"
10  }
11}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for News Aggregator AI Agent

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "harvestlabs/news-aggregator-ai-agent"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.