`get_timeline`

Pack: ai-briefing · Endpoint: https://gateway.pipeworx.io/ai-briefing/mcp

Get a chronological timeline of AI developments between two dates. Returns events ordered by date with descriptions for understanding a specific period.

Parameters

Name	Type	Required	Description
`start_date`	string	yes	Start date YYYY-MM-DD
`end_date`	string	no	End date YYYY-MM-DD (default: today)
`category`	string	no	Optional category filter
`limit`	number	no	Max results (default 50)

Example call

Arguments

{
  "start_date": "2025-01-01",
  "end_date": "2025-01-15"
}

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_timeline","arguments":{"start_date":"2025-01-01","end_date":"2025-01-15"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('get_timeline', {
  "start_date": "2025-01-01",
  "end_date": "2025-01-15"
});

More examples

{
  "start_date": "2024-12-01",
  "category": "model_release"
}

Response shape

Always returns: start_date, end_date, total, timeline

Field	Type	Description
`start_date`	string	Timeline start date
`end_date`	string	Timeline end date
`total`	number	Number of events in timeline
`timeline`	array	Chronological events

Full JSON Schema

{
  "type": "object",
  "properties": {
    "start_date": {
      "type": "string",
      "description": "Timeline start date"
    },
    "end_date": {
      "type": "string",
      "description": "Timeline end date"
    },
    "total": {
      "type": "number",
      "description": "Number of events in timeline"
    },
    "timeline": {
      "type": "array",
      "description": "Chronological events",
      "items": {
        "type": "object",
        "properties": {
          "date": {
            "type": "string",
            "description": "Event date in YYYY-MM-DD format"
          },
          "title": {
            "type": "string",
            "description": "Event title"
          },
          "summary": {
            "type": "string",
            "description": "Event summary"
          },
          "url": {
            "type": "string",
            "description": "Source URL"
          },
          "source": {
            "type": "string",
            "description": "Source identifier"
          },
          "category": {
            "type": "string",
            "description": "Event category"
          },
          "importance": {
            "type": "string",
            "description": "Importance level"
          }
        }
      }
    }
  },
  "required": [
    "start_date",
    "end_date",
    "total",
    "timeline"
  ]
}

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.

get_timeline