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huggingface.co · 제공사 Hugging Face · 인증 없음 · 구독자 0명

로그인 없이 읽은 도구 목록입니다. 서버가 밝힌 내용만 표시하며, 인증에 따라 도구가 달라질 수 있습니다.

제공사 문서로 확인한 공식 서버입니다. 근거 문서

도구 외 기능이 있습니다. 이 기능은 표시 범위에 포함되지 않습니다.

이렇게 사용합니다

시작 순서

  1. 구독연결 전 확인 사항을 보고 구독합니다. 구독은 무료입니다.
  2. 내 AI에 연결ChatGPT, Claude, Cursor 등 쓰고 있는 AI에 서버 주소를 넣습니다.
  3. AI에게 말하기위 예시처럼 평소 말로 요청하면 AI가 이 서버의 도구를 골라 부릅니다.

연결 전 확인 사항

필요한 정보

  • Search term. Leave blank and specify sort + limit to browse trending or recent repositories. hub_repo_search: query
  • Repository types to search. Defaults to ["model", "dataset"]. space uses keyword search via /api/spaces. hub_repo_search: repo_types
  • Organization or user namespace to filter by (e.g. 'google', 'meta-llama', 'huggingface'). hub_repo_search: author
  • Optional hub filter tags. Applied to each selected repo type (e.g. ["text-generation"], ["language:en"], ["mcp-server"]). hub_repo_search: filters
  • Sort order (descending): trendingScore, downloads, likes, createdAt, lastModified hub_repo_search: sort
  • Maximum number of results to return per selected repo type hub_repo_search: limit
  • Repo IDs for (models|dataset/space) - usually in author/name format (e.g. openai/gpt-oss-120b) hub_repo_details: repo_ids
  • Specify lookup type; otherwise auto-detects hub_repo_details: repo_type
  • Details to return. Defaults to ["overview"]. For datasets, prefer ["overview", "dataset_structure"] first; then call ["dataset_preview"] with config and split. hub_repo_details: operations
  • Dataset Viewer config. Required for dataset_preview when the dataset has multiple config/split options. Discover via dataset_structure. hub_repo_details: config
  • Dataset Viewer split. Required for dataset_preview when the dataset has multiple config/split options. Discover via dataset_structure. hub_repo_details: split
  • Row offset for dataset_preview. Defaults to 0. hub_repo_details: offset
  • Row count for dataset_preview. Defaults to 5 and is clamped to 1-100. hub_repo_details: limit
  • operations hf_fs: operations

제공 기능

  • Inspect the current Hugging Face authentication context, including the account, visible organization memberships, and credential access details. Read-only and never returns credential values. hf_whoami
  • 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 rep… hub_repo_search
  • 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… hub_repo_details
  • 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: {"… hf_fs

구독은 무료입니다.

연결 안내

전송 방식 Streamable HTTP

ChatGPT

ChatGPT 웹 설정의 앱 메뉴에서 고급 설정의 개발자 모드를 켜고, 앱을 새로 만들어 이름과 아래 주소를 입력합니다. 인증은 없음을 선택합니다. 요금제와 워크스페이스 설정에 따라 메뉴가 보이지 않을 수 있습니다.

https://huggingface.co/mcp
Claude 앱

Customize > Connectors에서 + Add, Add custom connector를 선택합니다. 이름과 아래 주소를 입력하고, Authentication에서 No sign in을 선택합니다. 채팅 입력창의 + > Connectors에서 켜야 사용됩니다.

https://huggingface.co/mcp
Claude Code

터미널에서 아래 명령을 실행합니다. claude mcp list에서 Connected로 보이면 완료입니다.

claude mcp add --transport http --scope user hugging-face https://huggingface.co/mcp
VS Code의 Claude Code 확장

채팅 패널에 /mcp를 입력하고 서버를 추가해 아래 주소를 입력합니다. 새 대화를 시작한 뒤 /mcp에서 Connected인지 확인합니다.

https://huggingface.co/mcp
Cursor

~/.cursor/mcp.json의 mcpServers에 아래 내용을 추가하고 Cursor를 다시 시작합니다.

{
  "mcpServers": {
    "hugging-face": { "url": "https://huggingface.co/mcp" }
  }
}
Codex

~/.codex/config.toml에 아래 내용을 추가하고 다시 시작합니다. 입력창의 /mcp에서 확인합니다.

[mcp_servers.hugging-face]
url = "https://huggingface.co/mcp"

최근 30일 상태

응답률 100% · 평균 응답 시간 552ms · 마지막 확인 2026-11-13 정상

  1. 2026-10-15 기록 없음
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  20. 2026-11-03 정상
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정상로그인 필요응답 없음기록 없음

응답 시간

하루 한 번 서버 주소에 접속해 확인합니다. 로그인이 필요한 서버는 로그인 요청으로 응답하면 정상으로 봅니다.

도구 4
  • hf_whoami 읽기

    Inspect the current Hugging Face authentication context, including the account, visible organization memberships, and credential access details. Read-only and never returns credential values.

  • hub_repo_search 읽기

    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.

  • hub_repo_details 읽기

    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.

  • hf_fs 읽기

    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], hf://spaces[/OWNER], hf://collections[/OWNER], hf://papers, and hf://docs[/...]. Repository and repository-file scopes are not supported: search a resource root or owner scope to discover resources; use find for file discovery within a repository or cat for a known text file. Paper and documentation search require QUERY. --tag filters models, datasets, and Spaces by Hub tag (repeatable; all must match) and applies only to hf://models|datasets|spaces[/OWNER]; omit QUERY when the tag already identifies the target, because QUERY also filters repository names. Derived models carry base_model:ID and base_model:RELATION:ID tags, where RELATION is finetune, adapter, merge, or quantized. --kind applies only to hf://spaces[/OWNER]; the only valid --kind value is mcp, which selects MCP Spaces. Tag families are documented at hf://README.md. Use ls hf://models/trending, hf://datasets/trending, hf://spaces/trending, or hf://papers/trending for trending listings. hf://papers/ID is a paper directory, not paper text. Use cat hf://papers/ID/paper.md for paper text and cat hf://papers/ID/metadata.json for metadata. No preliminary listing is needed for these known paths. Use ls hf://papers/ID to discover other resources. Omit --limit, --sort, and --type unless the request requires them. Limits and path-specific behavior are documented at hf://README.md. Issue one hf_fs call. Links: hf://models|datasets|spaces/OWNER/NAME/PATH maps to https://huggingface.co[/datasets|/spaces]/OWNER/NAME/resolve/main/PATH (buckets: https://huggingface.co/buckets/OWNER/NAME/resolve/PATH); URL-encode each path segment. arXiv ids (for example 2502.16161) link papers, models and datasets.