Huggingface
NPM · @PIPEWORX/MCP-HUGGINGFACE · 2 COMPONENTS
Hugging Face Hub MCP — models, datasets, spaces
Available components
Last scanned (11 hours ago)
Scores higher than 76% of npm servers
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to pipeworx-io/mcp-huggingface). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 2 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability74
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 931 tokens (~93/item across 10 items; 10 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage83
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 49% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.
- 3 Nov 26 +27
- Malware scan: unverified → pass ▲ security
- Known CVEs: unverified → pass ▲ security
- Dependency health: unverified → pass ▲ functional
- 2 Nov 26 −24
- Malware scan: pass → unverified ▼ security
- Known CVEs: pass → unverified ▼ security
- Security disclosure: unverified → fail ▼ functional
- Dependency health: pass → unverified ▼ functional
- Stability: unverified → 0.13 ▲ functional
- Package version: 0.2.0 → 0.2.1 functional
- 1 Nov 26 0
- Security disclosure: fail → unverified ▼ functional
- 30 Oct 26 0
- Security disclosure: unverified → fail ▼ functional
- 29 Oct 26 79
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/@pipeworx/mcp-huggingface@0.2.1
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | pipeworx-io/mcp-huggingface |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/pipeworx-io/mcp-huggingface/.github/workflows/publish.yml@refs/heads/main |
| Rekor log index | 3637398435 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:80bef6822c3c3bddc2faf7abfe9a3e60d02e85e4545682b83c629398c7bb5a50da91ed7d4f9983c24242a62d134ff94d683ee63bc76780ab63bf41521 |
Background: How many MCP packages publish verified provenance →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_dataset ~59
Detailed Hugging Face dataset metadata by repo_id (e.g. "squad") and optional revision; returns card data, tags, downloads, task categories, and file list.
| Name | Type | Req | Description |
|---|---|---|---|
| repo_id | string | yes | – |
| revision | string | – | – |
No output schema declared.
No examples provided.
get_model ~56
Detailed model info — config, tags, downloads, files at root.
| Name | Type | Req | Description |
|---|---|---|---|
| repo_id | string | yes | <author>/<repo> or <repo> for HF-owned |
| revision | string | – | Branch/commit/tag (default main) |
No output schema declared.
No examples provided.
get_space ~62
Detailed Hugging Face Space metadata by repo_id (e.g. "stabilityai/stable-diffusion") and optional revision; returns sdk, runtime status, likes, and linked models.
| Name | Type | Req | Description |
|---|---|---|---|
| repo_id | string | yes | – |
| revision | string | – | – |
No output schema declared.
No examples provided.
list_dataset_files ~62
List files in a Hugging Face dataset repository by repo_id and optional revision/subdirectory path; returns filename, size, and blob SHA for each file.
| Name | Type | Req | Description |
|---|---|---|---|
| path | string | – | – |
| repo_id | string | yes | – |
| revision | string | – | – |
No output schema declared.
No examples provided.
list_model_files ~121
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.
| Name | Type | Req | Description |
|---|---|---|---|
| path | string | – | Subdirectory (default root) |
| repo_id | string | yes | – |
| revision | string | – | Branch/commit/tag (default main) |
No output schema declared.
No examples provided.
search_datasets ~126
Search Hugging Face Hub datasets with filters for author, language, and task_categories; sort by downloads, likes, or lastModified; returns dataset id, downloads, likes, and tags.
| Name | Type | Req | Description |
|---|---|---|---|
| author | string | – | – |
| direction | string | – | – |
| full | boolean | – | – |
| language | string | – | ISO language code, e.g. "fr" |
| limit | number | – | – |
| search | string | – | – |
| sort | string | – | – |
| task_categories | string | – | Comma-separated task categories, e.g. "question-answering" |
No output schema declared.
No examples provided.
search_models ~229
Search Hugging Face Hub models with filters for author, library (transformers/diffusers/…), language, pipeline_tag (text-generation/…), and tags; sort by downloads, likes, or trendingScore.
| Name | Type | Req | Description |
|---|---|---|---|
| author | string | – | Filter by org or user (e.g. "meta-llama") |
| direction | string | – | -1 (desc, default) | 1 (asc) |
| full | boolean | – | Include extra fields (cardData, gated, etc.) |
| language | string | – | ISO language code, e.g. "fr" — matched as a Hub tag, not validated |
| library | string | – | transformers | diffusers | sentence-transformers | ... |
| limit | number | – | 1-1000 (default 20) |
| pipeline_tag | string | – | text-generation | text-classification | image-classification | translation | ... |
| search | string | – | Free-text — name / description |
| sort | string | – | downloads | likes | trendingScore | lastModified | createdAt |
| tags | string | – | Comma-separated tags |
No output schema declared.
No examples provided.
search_spaces ~102
Search Hugging Face Spaces (demo apps) with filters for author and SDK (gradio/streamlit/docker/static); returns space id, sdk, runtime status, and likes.
| Name | Type | Req | Description |
|---|---|---|---|
| author | string | – | – |
| direction | string | – | – |
| full | boolean | – | – |
| limit | number | – | – |
| sdk | string | – | gradio | streamlit | docker | static |
| search | string | – | – |
| sort | string | – | – |
No output schema declared.
No examples provided.
trending_datasets ~29
Currently-trending datasets.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | – | 1-100 (default 20) |
No output schema declared.
No examples provided.
trending_models ~31
Currently-trending models on the Hub.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | – | 1-100 (default 20) |
No output schema declared.
No examples provided.
How do I install the Huggingface MCP server?
Huggingface runs locally as an npm package, launched with npx -y @pipeworx/mcp-huggingface. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @pipeworx/mcp-huggingface
claude mcp add pipeworx-io-huggingface -- npx -y @pipeworx/mcp-huggingface
What is the Huggingface MCP server?
Huggingface is an MCP server listed in the public MCP registry as io.github.pipeworx-io/huggingface. Hugging Face Hub MCP, models, datasets, spaces. This page covers its npm package (@pipeworx/mcp-huggingface).
Is the Huggingface MCP server safe to use?
Huggingface scores 83 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Huggingface MCP server expose?
Huggingface exposes 10 tools: search_models, search_datasets, search_spaces, get_model, get_dataset, and 5 more. Their descriptions and schemas cost roughly 877 tokens of context every time the server is loaded.
Is the Huggingface MCP server still maintained?
Huggingface is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Huggingface MCP server under?
Huggingface declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.