Hugging Face
REMOTE · HUGGINGFACE.CO · 2 COMPONENTS
Connect to Hugging Face Hub and thousands of Gradio AI Applications
Available components
Last scanned (7 hours ago)
Scores higher than 89% of remote servers
Reachable. Last reached 5 Nov 2026.
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security83
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC is configured correctly; the domain's records validate against the full chain to the root. View diagnostics → Pass
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability51
- 16% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Partial
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 5580 tokens (~34/item across 162 items; 4 tools + 158 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage98
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 93% of tool parameters carry a description.Partial
- Structured output schemas are declared (50% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (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
- Resource “dataset_inspector.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/dataset_inspector.py → skill://huggingface-vision-trainer/scripts/dataset_inspector.py security
- Resource “estimate_cost.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/estimate_cost.py → skill://huggingface-vision-trainer/scripts/estimate_cost.py security
- Resource “hardware_guide.md” now points somewhere else: skill://huggingface-llm-trainer/references/hardware_guide.md → skill://train-sentence-transformers/references/hardware_guide.md security
- Resource “hub_saving.md” now points somewhere else: skill://huggingface-llm-trainer/references/hub_saving.md → skill://huggingface-vision-trainer/references/hub_saving.md security
- Resource “reliability_principles.md” now points somewhere else: skill://huggingface-llm-trainer/references/reliability_principles.md → skill://huggingface-vision-trainer/references/reliability_principles.md security
- Resource “troubleshooting.md” now points somewhere else: skill://huggingface-llm-trainer/references/troubleshooting.md → skill://train-sentence-transformers/references/troubleshooting.md security
- The server rewrote its instructions, which are the text every model session reads security
- Tool “hf_fs” rewrote its description, which is the text the model reads security
- Tool “hub_repo_details” rewrote its description, which is the text the model reads security
- Tool “hub_repo_search” rewrote its description, which is the text the model reads security
- Server version: 0.4.31 → 0.4.33 functional
- 4 Nov 26 0
- Resource “dataset_inspector.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/dataset_inspector.py → skill://huggingface-vision-trainer/scripts/dataset_inspector.py security
- Resource “estimate_cost.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/estimate_cost.py → skill://huggingface-vision-trainer/scripts/estimate_cost.py security
- Resource “hardware_guide.md” now points somewhere else: skill://huggingface-llm-trainer/references/hardware_guide.md → skill://train-sentence-transformers/references/hardware_guide.md security
- Resource “hub_saving.md” now points somewhere else: skill://huggingface-llm-trainer/references/hub_saving.md → skill://huggingface-vision-trainer/references/hub_saving.md security
- Resource “reliability_principles.md” now points somewhere else: skill://huggingface-llm-trainer/references/reliability_principles.md → skill://huggingface-vision-trainer/references/reliability_principles.md security
- Resource “troubleshooting.md” now points somewhere else: skill://huggingface-llm-trainer/references/troubleshooting.md → skill://train-sentence-transformers/references/troubleshooting.md security
- 3 Nov 26 0
- Resource “dataset_inspector.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/dataset_inspector.py → skill://huggingface-vision-trainer/scripts/dataset_inspector.py security
- Resource “estimate_cost.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/estimate_cost.py → skill://huggingface-vision-trainer/scripts/estimate_cost.py security
- Resource “hardware_guide.md” now points somewhere else: skill://huggingface-llm-trainer/references/hardware_guide.md → skill://train-sentence-transformers/references/hardware_guide.md security
- Resource “hub_saving.md” now points somewhere else: skill://huggingface-llm-trainer/references/hub_saving.md → skill://huggingface-vision-trainer/references/hub_saving.md security
- Resource “reliability_principles.md” now points somewhere else: skill://huggingface-llm-trainer/references/reliability_principles.md → skill://huggingface-vision-trainer/references/reliability_principles.md security
- Resource “troubleshooting.md” now points somewhere else: skill://huggingface-llm-trainer/references/troubleshooting.md → skill://train-sentence-transformers/references/troubleshooting.md security
- 2 Nov 26 0
- Resource “dataset_inspector.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/dataset_inspector.py → skill://huggingface-vision-trainer/scripts/dataset_inspector.py security
- Resource “estimate_cost.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/estimate_cost.py → skill://huggingface-vision-trainer/scripts/estimate_cost.py security
- Resource “hardware_guide.md” now points somewhere else: skill://huggingface-llm-trainer/references/hardware_guide.md → skill://train-sentence-transformers/references/hardware_guide.md security
- Resource “hub_saving.md” now points somewhere else: skill://huggingface-llm-trainer/references/hub_saving.md → skill://huggingface-vision-trainer/references/hub_saving.md security
- Resource “reliability_principles.md” now points somewhere else: skill://huggingface-llm-trainer/references/reliability_principles.md → skill://huggingface-vision-trainer/references/reliability_principles.md security
- Resource “troubleshooting.md” now points somewhere else: skill://huggingface-llm-trainer/references/troubleshooting.md → skill://train-sentence-transformers/references/troubleshooting.md security
- 1 Nov 26 0
- Resource “dataset_inspector.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/dataset_inspector.py → skill://huggingface-vision-trainer/scripts/dataset_inspector.py security
- Resource “estimate_cost.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/estimate_cost.py → skill://huggingface-vision-trainer/scripts/estimate_cost.py security
- Resource “hardware_guide.md” now points somewhere else: skill://huggingface-llm-trainer/references/hardware_guide.md → skill://train-sentence-transformers/references/hardware_guide.md security
- Resource “hub_saving.md” now points somewhere else: skill://huggingface-llm-trainer/references/hub_saving.md → skill://huggingface-vision-trainer/references/hub_saving.md security
- Resource “reliability_principles.md” now points somewhere else: skill://huggingface-llm-trainer/references/reliability_principles.md → skill://huggingface-vision-trainer/references/reliability_principles.md security
- Resource “troubleshooting.md” now points somewhere else: skill://huggingface-llm-trainer/references/troubleshooting.md → skill://train-sentence-transformers/references/troubleshooting.md security
- 31 Oct 26 0
- Resource “dataset_inspector.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/dataset_inspector.py → skill://huggingface-vision-trainer/scripts/dataset_inspector.py security
- Resource “estimate_cost.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/estimate_cost.py → skill://huggingface-vision-trainer/scripts/estimate_cost.py security
- Resource “hardware_guide.md” now points somewhere else: skill://huggingface-llm-trainer/references/hardware_guide.md → skill://train-sentence-transformers/references/hardware_guide.md security
- Resource “hub_saving.md” now points somewhere else: skill://huggingface-llm-trainer/references/hub_saving.md → skill://huggingface-vision-trainer/references/hub_saving.md security
- Resource “reliability_principles.md” now points somewhere else: skill://huggingface-llm-trainer/references/reliability_principles.md → skill://huggingface-vision-trainer/references/reliability_principles.md security
- Resource “troubleshooting.md” now points somewhere else: skill://huggingface-llm-trainer/references/troubleshooting.md → skill://train-sentence-transformers/references/troubleshooting.md security
- 30 Oct 26 0
- Resource “dataset_inspector.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/dataset_inspector.py → skill://huggingface-vision-trainer/scripts/dataset_inspector.py security
- Resource “estimate_cost.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/estimate_cost.py → skill://huggingface-vision-trainer/scripts/estimate_cost.py security
- Resource “hardware_guide.md” now points somewhere else: skill://huggingface-llm-trainer/references/hardware_guide.md → skill://train-sentence-transformers/references/hardware_guide.md security
- Resource “hub_saving.md” now points somewhere else: skill://huggingface-llm-trainer/references/hub_saving.md → skill://huggingface-vision-trainer/references/hub_saving.md security
- Resource “reliability_principles.md” now points somewhere else: skill://huggingface-llm-trainer/references/reliability_principles.md → skill://huggingface-vision-trainer/references/reliability_principles.md security
- Resource “troubleshooting.md” now points somewhere else: skill://huggingface-llm-trainer/references/troubleshooting.md → skill://train-sentence-transformers/references/troubleshooting.md security
- 29 Oct 26 0
- Resource “dataset_inspector.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/dataset_inspector.py → skill://huggingface-vision-trainer/scripts/dataset_inspector.py security
- Resource “estimate_cost.py” now points somewhere else: skill://huggingface-llm-trainer/scripts/estimate_cost.py → skill://huggingface-vision-trainer/scripts/estimate_cost.py security
- Resource “hardware_guide.md” now points somewhere else: skill://huggingface-llm-trainer/references/hardware_guide.md → skill://train-sentence-transformers/references/hardware_guide.md security
- Resource “hub_saving.md” now points somewhere else: skill://huggingface-llm-trainer/references/hub_saving.md → skill://huggingface-vision-trainer/references/hub_saving.md security
- Resource “reliability_principles.md” now points somewhere else: skill://huggingface-llm-trainer/references/reliability_principles.md → skill://huggingface-vision-trainer/references/reliability_principles.md security
- Resource “troubleshooting.md” now points somewhere else: skill://huggingface-llm-trainer/references/troubleshooting.md → skill://train-sentence-transformers/references/troubleshooting.md security
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 · Probed https://huggingface.co/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=huggingface.co | CN=Amazon RSA 2048 M01,O=Amazon,C=US | 14 Aug 2026 | 27 Feb 2027 | RSA 2048 | SHA256-RSA | d7f89cd943c09c5aa9c7a1d94c755c4 |
| SANs: huggingface.co, *.huggingface.co | ||||||
| CN=Amazon RSA 2048 M01,O=Amazon,C=US (CA) | CN=Amazon Root CA 1,O=Amazon,C=US | 23 Aug 2022 | 23 Aug 2030 | RSA 2048 | SHA256-RSA | 77312380b9d6688a33b1ed9bf9ccda68e0e0f |
| CN=Amazon Root CA 1,O=Amazon,C=US (CA) | CN=Starfield Services Root Certificate Authority - G2,O=Starfield Technologies\, Inc.,L=Scottsdale,ST=Arizona,C=US | 25 May 2015 | 31 Dec 2037 | RSA 2048 | SHA256-RSA | 67f944a2a27cdf3fac2ae2b01f908eeb9c4c6 |
Background: What to check on a remote MCP endpoint →
DNSSEC secure
Validation of huggingface.co. — Secure
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| co. | present | 7786 | 8 | Verified |
| huggingface.co. | present | 34884 | 13 | Verified |
| huggingface.co. | Verified address RRset verified with the apex keys |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000 |
| x-content-type-options | nosniff |
| referrer-policy | no-referrer |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://huggingface.co/mcp | Verified | 200 | |
| http (plaintext) | http://huggingface.co/mcp | HTTPS enforced | 301 | https://huggingface.co/mcp |
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 →
hf_fs Hugging Face Hub: Find, use and view models, datasets, spaces, buckets, papers, documentation and collections. Get daily papers reports, and browse trending content. ~957
When to use: Hugging Face Hub models, datasets, Spaces, collections, papers, daily papers, today's trending models, current paper leaderboard, docs; list and read repository files, model and dataset cards (README, license). Examples: {"operations":[{"cmd":"ls","args":["hf://models/trending","--limit","10"]}]} {"operations":[{"cmd":"ls","args":["hf://papers/trending"]}]} {"operations":[{"cmd":"ls","args":["hf://papers/daily/latest"]}]} {"operations":[{"cmd":"cat","args":["hf://papers/2501.00001/paper.md"]}]} {"operations":[{"cmd":"search","args":["hf://models","--tag","base_model:finetune:org/repo"]}]} Use hf_fs for Hugging Face Hub filesystem operations. Call it with operations, an array of {cmd, args} items; multiple operations may be submitted together. Usage: {"operations":[{"cmd":"ls","args":["hf://models/org/repo"]}]} Grammar; each string below is one args array item: ls URI [--recursive] [--glob GLOB] [--type TYPE] [--sort SORT] [--limit N] cat URI [--offset N] [--max-bytes N] attach URI [--max-bytes N] stat URI find URI [--name GLOB] [--path GLOB] [--type TYPE] [--limit N] search URI [QUERY] [--type TYPE] [--sort SORT] [--tag TAG] [--kind mcp] [--limit N] COMMAND = ls|cat|attach|stat|find|search. TYPE = file|dir|repo|bucket|collection|paper|link. SORT = createdAt|downloads|likes|lastModified|likes30d|trendingScore|mainSize|id|trending|upvotes. URI is a canonical hf:// URI. QUERY and GLOB are each one string. Use search for resource discovery, not repository-content search; ls for a known directory, find for recursive file discovery by name/path (not file contents), stat for filesystem metadata or an uncertain target type, cat for text contents, and attach for a complete JPEG, PNG, or WebP image. When the request gives an exact text-file URI, use cat directly; do not add ls or stat first. stat does not read the contents of JSON, Markdown, or other text files. Search scopes: hf://models[/OWNER], hf://datasets[/OWNER],…
| Name | Type | Req | Description |
|---|---|---|---|
| operations | array | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| results | array | yes | – |
| truncated | boolean | – | – |
| truncation_reason | string | – | – |
No examples provided.
hf_whoami Hugging Face User Info ~40
Inspect the current Hugging Face authentication context, including the account, visible organization memberships, and credential access details. Read-only and never returns credential values.
Input schema present but exposes no named parameters.
Structured output declared, but exposes no named fields.
No examples provided.
hub_repo_details Hub Repository Details ~302
Get details for one or more Hugging Face repos (model, dataset, or space): card metadata, license, downloads, files, Space hardware/status, dataset configs, splits, columns and preview rows. Auto-detects type unless specified. For datasets, use operations: overview, dataset_structure, dataset_preview. Use dataset_structure first to discover configs, splits, sizes, and schema. Use dataset_preview only when config and split are known, unless the dataset has a single config/split.
| Name | Type | Req | Description |
|---|---|---|---|
| config | string | – | Dataset Viewer config. Required for dataset_preview when the dataset has multiple config/split options. Discover via dataset_structure. |
| limit | integer | – | Row count for dataset_preview. Defaults to 5 and is clamped to 1-100. |
| offset | integer | – | Row offset for dataset_preview. Defaults to 0. |
| operations | array | – | Details to return. Defaults to ["overview"]. For datasets, prefer ["overview", "dataset_structure"] first; then call ["dataset_preview"] with config and split. |
| repo_ids | array | yes | Repo IDs for (models|dataset/space) - usually in author/name format (e.g. openai/gpt-oss-120b) |
| repo_type | string | – | Specify lookup type; otherwise auto-detects |
| split | string | – | Dataset Viewer split. Required for dataset_preview when the dataset has multiple config/split options. Discover via dataset_structure. |
No output schema declared.
No examples provided.
hub_repo_search Repo Search ~223
Search and list Hugging Face models, datasets and Spaces (sort by downloads, likes, trending) with a shared query interface. You can target models, datasets, spaces, or aggregate across multiple repo types in one call. Include links to repositories in your response.
| Name | Type | Req | Description |
|---|---|---|---|
| author | string | – | Organization or user namespace to filter by (e.g. 'google', 'meta-llama', 'huggingface'). |
| filters | array | – | Optional hub filter tags. Applied to each selected repo type (e.g. ["text-generation"], ["language:en"], ["mcp-server"]). |
| limit | number | – | Maximum number of results to return per selected repo type |
| query | string | – | Search term. Leave blank and specify sort + limit to browse trending or recent repositories. |
| repo_types | array | – | Repository types to search. Defaults to ["model", "dataset"]. space uses keyword search via /api/spaces. |
| sort | string | – | Sort order (descending): trendingScore, downloads, likes, createdAt, lastModified |
No output schema declared.
No examples provided.
How do I install the Hugging Face MCP server?
Hugging Face is a hosted endpoint at https://huggingface.co/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · huggingface.co
claude mcp add --transport http co-huggingface-hf-mcp-server 'https://huggingface.co/mcp'
What is the Hugging Face MCP server?
Hugging Face is an MCP server listed in the public MCP registry as co.huggingface/hf-mcp-server. Connect to Hugging Face Hub and thousands of Gradio AI Applications. This page covers its hosted endpoint (https://huggingface.co/mcp).
Is the Hugging Face MCP server safe to use?
Hugging Face scores 84 out of 100 on VerifyMCP. 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 Hugging Face MCP server expose?
Hugging Face exposes 4 tools: hf_whoami, hub_repo_search, hub_repo_details, hf_fs. Their descriptions and schemas cost roughly 1,522 tokens of context every time the server is loaded.
Does the Hugging Face MCP server require authentication?
No. We connected to Hugging Face without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Hugging Face MCP server still maintained?
Hugging Face 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.