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Huggingface MCP Server

AI & MLLow Risk10.0MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

Hugging Face Hub MCP — models, datasets, spaces

About

Hugging Face Hub MCP — models, datasets, spaces

Remote endpoints: streamable-http: https://gateway.pipeworx.io/huggingface/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. Trust signals: trusted author (2283/2283 approved). 1 finding(s) downgraded by scanner intelligence.

54 tools verified · Open access · 2 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Optional Pipeworx API key. Without it calls are anonymous and capped daily; a free key raises the cap.Required

Environment variable: PIPEWORX_API_KEY

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

@pipeworx/huggingface

Hugging Face Hub MCP — search and inspect models, datasets, and Spaces on the largest open ML repository. No auth required for public reads.

Part of Pipeworx — an MCP gateway connecting AI agents to 1856+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

  • search_models(search?, author?, library?, language?, pipeline_tag?, tags?, sort?, direction?, limit?, full?)
  • search_datasets(search?, author?, language?, task_categories?, sort?, direction?, limit?, full?)
  • search_spaces(search?, author?, sdk?, sort?, direction?, limit?, full?)
  • get_model(repo_id, revision?)
  • get_dataset(repo_id, revision?)
  • get_space(repo_id, revision?)
  • list_model_files(repo_id, revision?) / list_dataset_files(repo_id, revision?)
  • trending_models(limit?) / trending_datasets(limit?)

Auth

Public reads are keyless. Higher rate limits and gated/private repos require a token — optional:

  • Platform key (optional): gateway env PLATFORM_HF_KEY
  • BYO (optional): ?_apiKey=<hf_token>

Data source

https://huggingface.co/api/ — public REST.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

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

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/huggingface/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

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

Both URLs reach the same gateway and the same 1856+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/huggingface_search_models \
  -H 'Content-Type: application/json' \
  -d '{"search":"bert","library":"transformers","limit":20}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/huggingface_search_models. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Run it from npm

@pipeworx/mcp-huggingface is a local stdio bridge to the Pipeworx gateway: your MCP client starts it with npx, and it forwards every call to the same https://gateway.pipeworx.io/huggingface/mcp endpoint shown above. It needs network access; there is no offline mode.

{
  "mcpServers": {
    "huggingface": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-huggingface"]
    }
  }
}

Without a key it calls anonymously, capped at 50 calls a day. A free account raises that to 200 a day: get a key at https://pipeworx.io/signup and add "env": { "PIPEWORX_API_KEY": "<your key>" } to the server entry. The key is sent as a Bearer token, the same way a hosted connection sends it, so calls are metered and billed exactly as they are there.

It lists only this pack's tools by default. Set PIPEWORX_META_TOOLS=1 to also list ask_pipeworx and the other gateway-wide tools.

Behind an HTTPS proxy: Node's built-in fetch does not read HTTPS_PROXY by default. Newer Node releases honour it when NODE_USE_ENV_PROXY=1 is set; check your Node version's documentation.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Huggingface data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

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