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