trending_papers
Pack: paperswithcode · Endpoint: https://gateway.pipeworx.io/paperswithcode/mcp
Today’s trending ML/AI papers (or a given day’s), ranked by community upvotes, via Hugging Face Papers. Use for “what are the hot AI papers”, “trending ML research”, “top papers this week”.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
date | string | no | Optional day YYYY-MM-DD (default: latest). |
limit | number | no | Max papers to return (1-50, default 15). |
Example call
Arguments
{
"limit": 15
}
curl
curl -X POST https://gateway.pipeworx.io/paperswithcode/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"trending_papers","arguments":{"limit":15}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('trending_papers', {
"limit": 15
});
Response shape
| Field | Type | Description |
|---|---|---|
date | string | |
count | number | |
papers | array | Array of formatted paper objects |
Full JSON Schema
{
"type": "object",
"properties": {
"date": {
"type": "string"
},
"count": {
"type": "number"
},
"papers": {
"type": "array",
"items": {
"type": "object",
"properties": {
"arxiv_id": {
"type": "string",
"description": "ArXiv ID of the paper"
},
"title": {
"type": "string",
"description": "Paper title"
},
"authors": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of paper authors"
},
"upvotes": {
"type": "number"
},
"published": {
"type": "string",
"description": "Publication date"
},
"github_repo": {
"type": [
"string",
"null"
]
},
"url": {
"type": "string"
}
}
},
"description": "Array of formatted paper objects"
}
}
}
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"paperswithcode": {
"url": "https://gateway.pipeworx.io/paperswithcode/mcp"
}
}
}
See Getting Started for client-specific install steps.