get_recent
Pack: ai-briefing · Endpoint: https://gateway.pipeworx.io/ai-briefing/mcp
Get recent tool releases filtered by category (e.g., ‘mcp’, ‘agent_framework’, ‘open_source’) or source (e.g., ‘github’, ‘anthropic_blog’). Returns descriptions and metadata.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
category | string | no | Filter by category (e.g., model_release, paper, funding) |
source | string | no | Filter by source (e.g., arxiv, hackernews, github) |
days | number | no | Look back N days (default 7) |
importance | string | no | Filter by importance: low, normal, high, breaking |
limit | number | no | Max results (default 20) |
Example call
Arguments
{
"category": "mcp",
"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_recent","arguments":{"category":"mcp","days":7}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('get_recent', {
"category": "mcp",
"days": 7
});
More examples
{
"source": "github",
"importance": "high",
"limit": 10
}
Response shape
Always returns: period, total, developments
| Field | Type | Description |
|---|---|---|
period | string | Time period description |
total | number | Number of developments found |
developments | array | Recent developments |
Full JSON Schema
{
"type": "object",
"properties": {
"period": {
"type": "string",
"description": "Time period description"
},
"total": {
"type": "number",
"description": "Number of developments found"
},
"developments": {
"type": "array",
"description": "Recent 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": [
"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.