`what_happened`

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

No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/what_happened for the schema, then POST the same URL with its arguments for the data.

Ask natural language questions about recent tools and developments (e.g., ‘any new MCP servers this week’, ‘latest Claude tools’). Returns the most relevant developments.

Parameters

Name	Type	Required	Description
`question`	string	yes	Your question about recent AI developments
`days`	number	no	Look back N days (default 30)

Example call

Arguments

{
  "question": "any new MCP servers this week"
}

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":"what_happened","arguments":{"question":"any new MCP servers this week"}}}'

TypeScript (@pipeworx/sdk)

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

const result = await pipeworx.call('what_happened', {
  "question": "any new MCP servers this week"
});

More examples

{
  "question": "latest Claude tools",
  "days": 14
}

Response shape

Always returns: question, keywords_used, period, total, developments

Field	Type	Description
`question`	string	Original natural language question
`keywords_used`	array	Extracted keywords from question
`period`	string	Time period description
`total`	number	Number of matching developments found
`developments`	array	Most relevant developments

Full JSON Schema

{
  "type": "object",
  "properties": {
    "question": {
      "type": "string",
      "description": "Original natural language question"
    },
    "keywords_used": {
      "type": "array",
      "description": "Extracted keywords from question",
      "items": {
        "type": "string"
      }
    },
    "period": {
      "type": "string",
      "description": "Time period description"
    },
    "total": {
      "type": "number",
      "description": "Number of matching developments found"
    },
    "developments": {
      "type": "array",
      "description": "Most relevant developments",
      "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"
          }
        }
      }
    }
  },
  "required": [
    "question",
    "keywords_used",
    "period",
    "total",
    "developments"
  ]
}

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.

what_happened