`search_spaces`

Pack: huggingface · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)

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

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": "stabilityai",
  "sort": "trendingScore",
  "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 — every tool in the catalog, including this one — or use one-click install buttons:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://pipeworx.io/mcp"
    }
  }
}

Connect to just the huggingface pack

{
  "mcpServers": {
    "huggingface": {
      "url": "https://gateway.pipeworx.io/huggingface/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

search_spaces