原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Smithsonian MCP Server

作者:cyanheads版本 0.4.0i★ –i电脑或云端
注册名称io.github.cyanheads/smithsonian-mcp-server

安装

概览

作者提供的说明(英文原文)

Search 14.5M Smithsonian Open Access objects, get CC0 images, find cross-collection connections.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 电脑或云端
  • 传输方式: stdio, Streamable HTTP
  • 分类: 设计、图片与音频
  • 你需要填写:SMITHSONIAN_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://smithsonian.caseyjhand.com/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "smithsonian": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/smithsonian-mcp-server"
      ],
      "env": {
        "SMITHSONIAN_API_KEY": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http smithsonian https://smithsonian.caseyjhand.com/mcp

或者在你的电脑上运行

claude mcp add smithsonian --env SMITHSONIAN_API_KEY=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/smithsonian-mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "smithsonian": {
      "url": "https://smithsonian.caseyjhand.com/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "smithsonian": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/smithsonian-mcp-server"
      ],
      "env": {
        "SMITHSONIAN_API_KEY": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "smithsonian": {
      "type": "http",
      "url": "https://smithsonian.caseyjhand.com/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "smithsonian": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/smithsonian-mcp-server"
      ],
      "env": {
        "SMITHSONIAN_API_KEY": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://smithsonian.caseyjhand.com/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • SMITHSONIAN_API_KEY 必填 env
    Required. Free API key from https://api.data.gov/signup — approval is instant.
  • MCP_LOG_LEVEL env
    Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • smithsonian_search_objects

    Recommended 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_terms

    Enumerate 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_object

    Fetch 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_media

    Return 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_category

    Browse 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_related

    Discover 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

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 cyanheads 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 133 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 6 个工具描述,未发现针对 AI 的隐藏指令

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2753 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2753 个服务器的 84% 更新
  • 基础检查结果等于或优于此分类中其他 2753 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Smithsonian MCP Server 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:SMITHSONIAN_API_KEY

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.4.0)于6天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者:GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新
安装

Claude Real Video

作者:HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新
安装

Figma MCP Server

作者:figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

@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


Overview

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.

Tools
ToolDescription
smithsonian_search_objectsSearch 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_termsEnumerate 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_objectFetch a normalized catalog metadata projection for an object by ID: title, dates, materials, dimensions, exhibition history, credit line, and identifiers.
smithsonian_get_mediaReturn 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_categoryBrowse 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_relatedDiscover cross-collection objects related to an anchor, matched on shared culture, named-party, topic, and period signals.
Skill
SkillDescription
smithsonian-guideGates 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.


Capability reference

smithsonian_search_objects tool
  • Free-text search over 14.5M objects from 20+ museums
  • Filters append hard AND 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.
  • Filters: museum unit code, object type, indexed date term (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-only
  • topic 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 715
  • Returns curated summaries: title, date, museum, object type, thumbnail URL, CC0 flag, record_id, plus holding_museum_name when the holding unit differs from the indexed unit_code (the 3D digitization scans)
  • An unknown filters key is rejected by name
  • Use start + 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 start

smithsonian_list_terms tool
  • Fields: unit_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 browsing
  • contains 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 name
  • Paginate with start + 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 contains
  • No per-term object counts are available upstream — only the term values themselves
  • Each field's vocabulary is cached for SMITHSONIAN_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 time
  • object_type is not enumerable here — harvest its values from the object_type field in smithsonian_search_objects results

smithsonian_get_object tool
  • Input: record_id from smithsonian_search_objects — do not construct IDs manually
  • Returns the exposed catalog fields: title, dates (all labeled), makers (with roles), materials, dimensions, place associations, culture terms, topic/subject terms, exhibition history, accession identifiers, credit line, rights statement
  • Media summary included — call smithsonian_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 order
  • holding_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 by
  • All nonempty notes retain their catalog labels and source order. description selects recognized prose labels; administrative notes stay labeled.
  • Natural-history metadata includes all 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 tool
  • Only CC0-licensed images are returned, never restricted content
  • Three distinct failure reasons when nothing is returnable: no_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)
  • Each image entry includes thumbnail (~120px), screen-size (~800px), and high-resolution JPEG/TIFF URLs with pixel dimensions
  • Use smithsonian_search_objects with filters.cc0_only: true to find objects with downloadable CC0 images before calling this tool

smithsonian_browse_category tool
  • Five modes: museum (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 results
  • Returns total count, a page of sample objects, and a museum breakdown showing which institutions hold matching items (computed from the current page)
  • Use start + 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 omits
  • A category value that matches nothing throws invalid_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 elsewhere
  • For open-ended or topic discovery, use smithsonian_search_objects instead — this tool requires an exact category value

smithsonian_find_related tool
  • Matches shared culture, named-party, topic, and period+type metadata signals against the wider catalog; cross-museum discovery is the differentiator — an NASM aerospace anchor may surface related objects from NMNH, SAAM, and NMAH
  • The named-party signal carries the catalog's own role for the party (maker, 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 signal
  • The topic signal is a hard topic: filter, so every object it tags carries that subject term rather than merely mentioning the word
  • similarity_signals on each result names every metadata term that conne

只显示了开头部分;其余内容请在仓库中阅读

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