`get_briefing`

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

Get today’s AI tools briefing — new MCP servers, APIs, SDKs, frameworks from the last 24 hours. Returns release summaries with sources and descriptions. Use at session start.

Parameters

Name	Type	Required	Description
`date`	string	no	Date in YYYY-MM-DD format (default: today)

Example call

Arguments

{
  "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_briefing","arguments":{"date":"2025-01-15"}}}'

TypeScript (@pipeworx/sdk)

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

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

More examples

{}

Response shape

Field	Type	Description
`date`	string	Date in YYYY-MM-DD format
`summary`	string	Daily briefing summary
`top_stories`	array	Top stories from the day
`model_updates`	array	Model release updates
`paper_highlights`	array	Highlighted research papers
`note`	string	Note when live query used instead of cached digest
`total_developments`	number	Total developments in live query
`developments`	array	Developments from live query

Full JSON Schema

{
  "type": "object",
  "properties": {
    "date": {
      "type": "string",
      "description": "Date in YYYY-MM-DD format"
    },
    "summary": {
      "type": "string",
      "description": "Daily briefing summary"
    },
    "top_stories": {
      "type": "array",
      "description": "Top stories from the day",
      "items": {
        "type": "object"
      }
    },
    "model_updates": {
      "type": "array",
      "description": "Model release updates",
      "items": {
        "type": "object"
      }
    },
    "paper_highlights": {
      "type": "array",
      "description": "Highlighted research papers",
      "items": {
        "type": "object"
      }
    },
    "note": {
      "type": "string",
      "description": "Note when live query used instead of cached digest"
    },
    "total_developments": {
      "type": "number",
      "description": "Total developments in live query"
    },
    "developments": {
      "type": "array",
      "description": "Developments from live query",
      "items": {
        "type": "object",
        "properties": {
          "title": {
            "type": "string",
            "description": "Development title"
          },
          "summary": {
            "type": "string",
            "description": "Development summary"
          },
          "url": {
            "type": "string",
            "description": "Source URL"
          },
          "source": {
            "type": "string",
            "description": "Source identifier"
          },
          "category": {
            "type": "string",
            "description": "Development category"
          },
          "importance": {
            "type": "string",
            "description": "Importance level"
          },
          "published_at": {
            "type": "string",
            "description": "Publication timestamp"
          }
        }
      }
    }
  }
}

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_briefing