list_model_files
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/list_model_files for the schema, then POST the same URL with its arguments for the data.
Hugging Face Hub API — list the files in a model repository at a given revision (branch, tag or commit; main by default) and optional subdirectory path. Returns each entry’s path, type, byte size and blob SHA, including LFS details for weight shards. Answers which weight, config and tokenizer files ship in a Hugging Face model repo and how large they are.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
repo_id | string | yes | |
revision | string | no | Branch/commit/tag (default main) |
path | string | no | Subdirectory (default root) |
Example call
Arguments
{
"repo_id": "bert-base-uncased"
}
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":"list_model_files","arguments":{"repo_id":"bert-base-uncased"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('list_model_files', {
"repo_id": "bert-base-uncased"
});
More examples
{
"repo_id": "meta-llama/Llama-2-7b",
"path": "config"
}
Response shape
Full JSON Schema
{
"type": "object",
"description": "List of files in a model repository"
}
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.