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Hugging Face
모델, 데이터셋, Spaces를 검색합니다.
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
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
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
정상로그인 필요응답 없음기록 없음
응답 시간
하루 한 번 서버 주소에 접속해 확인합니다. 로그인이 필요한 서버는 로그인 요청으로 응답하면 정상으로 봅니다.
도구 4
hf_whoami읽기Inspect 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_search읽기Search 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_details읽기Get 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_fs읽기When 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.