get_ai_news
Pack: ai-briefing · Endpoint: https://gateway.pipeworx.io/ai-briefing/mcp
Get AI industry news — model releases, funding, acquisitions, policy changes, benchmarks. Returns news events with dates and summaries for industry context.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
days | number | no | Look back N days (default 7) |
limit | number | no | Max results (default 15) |
Example call
Arguments
{
"days": 7
}
curl
curl -X POST https://gateway.pipeworx.io/ai-briefing/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_ai_news","arguments":{"days":7}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('get_ai_news', {
"days": 7
});
More examples
{
"days": 30,
"limit": 20
}
Response shape
Always returns: feed, period, description, total, items
| Field | Type | Description |
|---|---|---|
feed | string | Feed name |
period | string | Time period description |
description | string | Feed description |
total | number | Number of news items found |
items | array | AI industry news items |
Full JSON Schema
{
"type": "object",
"properties": {
"feed": {
"type": "string",
"description": "Feed name",
"enum": [
"ai_news"
]
},
"period": {
"type": "string",
"description": "Time period description"
},
"description": {
"type": "string",
"description": "Feed description"
},
"total": {
"type": "number",
"description": "Number of news items found"
},
"items": {
"type": "array",
"description": "AI industry news items",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "News title"
},
"summary": {
"type": "string",
"description": "News summary"
},
"url": {
"type": "string",
"description": "Source URL"
},
"source": {
"type": "string",
"description": "Source identifier"
},
"category": {
"type": "string",
"description": "News category"
},
"importance": {
"type": "string",
"description": "Importance level"
},
"published_at": {
"type": "string",
"description": "Publication timestamp"
}
}
}
}
},
"required": [
"feed",
"period",
"description",
"total",
"items"
]
}
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"ai-briefing": {
"url": "https://gateway.pipeworx.io/ai-briefing/mcp"
}
}
}
See Getting Started for client-specific install steps.