search_spaces
Pack: huggingface · Endpoint: https://gateway.pipeworx.io/huggingface/mcp
Search Hugging Face Spaces (demo apps) with filters for author and SDK (gradio/streamlit/docker/static); returns space id, sdk, runtime status, and likes.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
search | string | no | |
author | string | no | |
sdk | string | no | gradio | streamlit | docker | static |
sort | string | no | |
direction | string | no | |
limit | number | no | |
full | boolean | no |
Example call
Arguments
{
"search": "chatbot",
"sdk": "gradio",
"limit": 20
}
curl
curl -X POST https://gateway.pipeworx.io/huggingface/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_spaces","arguments":{"search":"chatbot","sdk":"gradio","limit":20}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('search_spaces', {
"search": "chatbot",
"sdk": "gradio",
"limit": 20
});
More examples
{
"author": "gradio-demos",
"sort": "trending_score",
"direction": "-1",
"limit": 10
}
Response shape
Full JSON Schema
{
"type": "object",
"description": "List of Spaces matching search criteria"
}
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"huggingface": {
"url": "https://gateway.pipeworx.io/huggingface/mcp"
}
}
}
See Getting Started for client-specific install steps.