Context7
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作者による説明(英語の原文)
Search 14.5M Smithsonian Open Access objects, get CC0 images, find cross-collection connections.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
SMITHSONIAN_API_KEY, MCP_LOG_LEVEL必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://smithsonian.caseyjhand.com/mcpClaude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"smithsonian": {
"command": "npx",
"args": [
"-y",
"@cyanheads/smithsonian-mcp-server"
],
"env": {
"SMITHSONIAN_API_KEY": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add --transport http smithsonian https://smithsonian.caseyjhand.com/mcpclaude mcp add smithsonian --env SMITHSONIAN_API_KEY=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/smithsonian-mcp-server動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"smithsonian": {
"url": "https://smithsonian.caseyjhand.com/mcp"
}
}
}プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"smithsonian": {
"command": "npx",
"args": [
"-y",
"@cyanheads/smithsonian-mcp-server"
],
"env": {
"SMITHSONIAN_API_KEY": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"smithsonian": {
"type": "http",
"url": "https://smithsonian.caseyjhand.com/mcp"
}
}
}プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"smithsonian": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/smithsonian-mcp-server"
],
"env": {
"SMITHSONIAN_API_KEY": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://smithsonian.caseyjhand.com/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
MCP_LOG_LEVEL envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
ツールの名前と説明は、サーバーが2026年11月6日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
smithsonian_search_objectsRecommended first step for open-ended or topic discovery: free-text search across 14.5 million Smithsonian objects, with optional exact filters. Filters narrow by museum unit, object type, indexed date term, culture, geographic place, subject topic, named party, and online/CC0 av
smithsonian_list_termsEnumerate the valid term vocabulary for an indexed Smithsonian filter field (unit_code, culture, place, date, online_media_type, topic). Terms are a controlled vocabulary — often plural or qualified (e.g. "Paintings", not "Painting") — so guessed filter values tend to return noth
smithsonian_get_objectFetch a normalized catalog metadata projection for a Smithsonian object by its record_id (from smithsonian_search_objects results). Returns title, dates, description, labeled notes, makers, materials, dimensions, places, cultures, topics, exhibitions, credit line, identifiers, ri
smithsonian_get_mediaReturn every CC0 (open-access) image for a Smithsonian object at multiple resolutions. The tool never returns an empty list — it names the reason instead: an object with nothing digitized, an object whose media is entirely non-image (3D models, scanned books, documents), and an o
smithsonian_browse_categoryBrowse Smithsonian objects within one exact category — a single museum (mode "museum"), culture, indexed date term (mode "period"), object type (mode "medium"), or subject term (mode "topic"). The value must be an exact indexed category term, not free text: resolve museum, cultur
smithsonian_find_relatedDiscover objects across Smithsonian collections related to a given anchor object, matched on shared metadata signals — culture, period, object type, named parties, and topic terms. Each related object is tagged with the signals that connected it to the anchor; a named-party signa
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント cyanheads で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
133ミリ秒で応答(HTTP 200)
サインイン不要
6件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:SMITHSONIAN_API_KEY
どちらでも使えます。パソコンにインストールしても、クラウド版につないでもかまいません。
GitHubリポジトリの最終更新は–、最新バージョン(0.4.0)がレジストリに届いたのは6 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Context7, Codebase Memory, Exa
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
@cyanheads/smithsonian-mcp-server Search 14.5M Smithsonian Open Access objects across 20+ museums via MCP, and retrieve CC0 images for the 5.2M that carry openly-licensed media. STDIO or Streamable HTTP. 6 Tools
Public Hosted Server: https://smithsonian.caseyjhand.com/mcp
The Smithsonian's Open Access catalog: 14.5 million objects across 20+ museums, 5.2 million with CC0 images. Search by free text or category, browse by museum, culture, date, or topic, and discover connections across collections.
| Tool | Description |
|---|---|
smithsonian_search_objects | Search across 14.5M objects by text query with optional filters (museum, type, date term, culture, place, topic, name, scientific name, media type, online-only, CC0). Returns curated summaries with total count. |
smithsonian_list_terms | Enumerate the valid term vocabulary for an indexed filter field (unit_code, culture, place, date, online_media_type, topic). Call before filtering to avoid empty results from invalid values; pass contains to resolve a guessed value to its exact term(s). unit_code terms come back with their museum names. |
smithsonian_get_object | Fetch a normalized catalog metadata projection for an object by ID: title, dates, materials, dimensions, exhibition history, credit line, and identifiers. |
smithsonian_get_media | Return all CC0-licensed images for an object at multiple resolutions (thumbnail, screen, high-res JPEG/TIFF). Only CC0 images returned, never an empty list — a distinct error reason names why, whether the object has nothing digitized, only non-image media, or only restricted images. |
smithsonian_browse_category | Browse objects within one exact category (museum, culture, period, medium, topic) with total count, a page of objects, and museum breakdown. Requires an exact indexed category term. |
smithsonian_find_related | Discover cross-collection objects related to an anchor, matched on shared culture, named-party, topic, and period signals. |
| Skill | Description |
|---|---|
smithsonian-guide | Gates for agents querying the catalog: query syntax (OR never widens a search), counting a museum's or a place's holdings, finding a person's indexed name, genus-level scientific names, and mirror-served pages |
Ships in skills/ for plugin installs, the npm package, the Docker image, and the .mcpb bundle, and is served over MCP as skill://smithsonian-guide/SKILL.md.
smithsonian_search_objects toolAND constraints. Plain words and quoted phrases keep their matching semantics; active Lucene expressions are grouped to preserve Boolean precedence.filters.online_media_type accepts exact smithsonian_list_terms media categories such as Images, 3D Models, and Sound recordings. These describe the index; even Images does not guarantee attached or CC0 images. Check smithsonian_get_object.media_summary for deliverability. Media categories feed search, with no media-type browse mode.1920s, 500-1500, 21st century, -2500), culture, geographic place, subject topic, named party (name), scientific name (scientific_name), indexed media category (online_media_type), online-only, CC0-onlytopic and name are hard indexed constraints, not free text — topic: "Quilts" matches 1,134 objects where the bare word matches 2,677, and name: "Warhol, Andy" matches 421 against 715record_id, plus holding_museum_name when the holding unit differs from the indexed unit_code (the 3D digitization scans)filters key is rejected by namestart + rows for standard pagination (offset-based, default 20, up to 1,000 per page — a larger rows is served at 1,000 with a notice). When objects remain, the notice names the next startsmithsonian_list_terms toolunit_code, culture, place, date, online_media_type, topic — a controlled vocabulary, often plural (e.g. Paintings, not Painting); ground filter values here before searching or browsingcontains filters the vocabulary by a case-insensitive substring — resolves a guessed value (e.g. greek → Greek, Attic) in one call; for unit_code it also matches museum names (National Air and Space → NASM), and each unit_code term comes back with a labels map of its museum namestart + rows (default 50, up to 40,000 per page — a larger rows is served at 40,000 with a notice); topic (133k terms) and place (114k) are large enough to pair with containsSMITHSONIAN_TERMS_CACHE_TTL_SECONDS (default 3600 seconds, 0 disables) — upstream ignores paging and returns the whole set on every call, so paging a large vocabulary uncached re-downloads it each timeobject_type is not enumerable here — harvest its values from the object_type field in smithsonian_search_objects resultssmithsonian_get_object toolrecord_id from smithsonian_search_objects — do not construct IDs manuallysmithsonian_get_media for full image URLs. media_summary.non_image_media[] lists every media item that is not an image (3D models, scanned books, documents) as { type, url?, is_cc0 }, in catalog orderholding_museum_name names the holding unit when it differs from unit_code, the code the record is indexed under (the 3D digitization scans); the text output renders it as Held bydescription selects recognized prose labels; administrative notes stay labeled.scientific_names, reported taxonomy ranks, and valid decimal collection coordinates with their own locality when present. The arrays are empty when no names or valid points are available; absent ranks are omitted. No accepted name, geocoding, or accuracy is inferred. Use scientific_names as exact filters.scientific_name values in search; this field is not enumerable via smithsonian_list_terms.smithsonian_get_media toolno_media (nothing digitized), no_images (media exists but is entirely non-image — 3D models, scanned books, documents; the recovery hint names the types present and points to smithsonian_get_object's media_summary.non_image_media, which links each item), not_cc0 (images exist but none are CC0, thrown as Forbidden)smithsonian_search_objects with filters.cc0_only: true to find objects with downloadable CC0 images before calling this toolsmithsonian_browse_category toolmuseum (by unit code, e.g. "NASM" — matched exactly, not by museum name), culture (e.g. "Aztecs"), period (indexed date term, e.g. "1940s" or "500-1500"), medium (object type, e.g. "Paintings"), topic (subject term, e.g. "Quilts")value must be an exact indexed category term — resolve museum, culture, period, and topic vocabulary with smithsonian_list_terms first; object_type is not enumerable there, so harvest it from smithsonian_search_objects resultsstart + rows for standard pagination (offset-based, default 10, up to 1,000 per page — a larger rows is served at 1,000 with a notice). When objects remain, the notice names the next start — adjacent pages retrieve the objects a capped sample omitsinvalid_category with a mode-specific recovery hint: a value outside the vocabulary gets the exact smithsonian_list_terms call that resolves it, and a value the index enumerates but that matches no objects is named as such and routed elsewheresmithsonian_search_objects instead — this tool requires an exact category valuesmithsonian_find_related toolmaker, collector, donor, issuing authority, …) rather than a fixed maker label, prefers the indexed name facet as a hard filter when the record has one, and is dropped when its value only repeats the culture signaltopic: filter, so every object it tags carries that subject term rather than merely mentioning the wordsimilarity_signals on each result names every metadata term that conne冒頭だけを表示しています。続きはリポジトリで読めます