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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DPLA Catalog

作者:ianderso版本 0.1.1i★ –i在你的电脑上运行
注册名称io.github.ianderso/dpla-catalog-mcp

安装

概览

作者提供的说明(英文原文)

Search the Digital Public Library of America; reach the holding institution's record and images.

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆
  • 你需要填写:DPLA_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: DPLA_API_KEY, DPLA_CACHE_DIR, DPLA_TIMEOUT, DPLA_MIN_INTERVAL

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 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 …”。

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

{
  "mcpServers": {
    "dpla-catalog": {
      "command": "uvx",
      "args": [
        "dpla-catalog-mcp"
      ],
      "env": {
        "DPLA_API_KEY": "your-value",
        "DPLA_CACHE_DIR": "your-value",
        "DPLA_TIMEOUT": "your-value",
        "DPLA_MIN_INTERVAL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add dpla-catalog --env DPLA_API_KEY=your-value --env DPLA_CACHE_DIR=your-value --env DPLA_TIMEOUT=your-value --env DPLA_MIN_INTERVAL=your-value -- uvx dpla-catalog-mcp

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": {
    "dpla-catalog": {
      "command": "uvx",
      "args": [
        "dpla-catalog-mcp"
      ],
      "env": {
        "DPLA_API_KEY": "your-value",
        "DPLA_CACHE_DIR": "your-value",
        "DPLA_TIMEOUT": "your-value",
        "DPLA_MIN_INTERVAL": "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": {
    "dpla-catalog": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "dpla-catalog-mcp"
      ],
      "env": {
        "DPLA_API_KEY": "your-value",
        "DPLA_CACHE_DIR": "your-value",
        "DPLA_TIMEOUT": "your-value",
        "DPLA_MIN_INTERVAL": "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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

  • DPLA_API_KEY 机密 必填 env
    Your DPLA API key: 32 letters, digits or hyphens. Free; request it with POST https://api.dp.la/v2/api_key/YOUR_EMAIL and it arrives by email.
  • DPLA_CACHE_DIR env
    Directory for the on-disk response cache.
  • DPLA_TIMEOUT env
    HTTP timeout in seconds.
  • DPLA_MIN_INTERVAL env
    Least seconds between the start of one request to DPLA and the next.

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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 ianderso 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7277 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7277 个服务器的 54% 更新
  • 基础检查结果等于或优于此分类中其他 7277 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

DPLA Catalog 安全吗?

它在 1 项适用的基础检查中通过了 1 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:DPLA_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.1)于32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。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
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。

dpla-catalog-mcp

An MCP server for the [Digital Public Library of America](https://dp.la): one search across descriptions of more than 50 million digitised items held by hundreds of US libraries, archives, historical societies and museums. For family history that means county atlases and plat books, city directories, county histories, yearbooks, local newspapers and photographs, many of them held by a small institution you would not think to search.

DPLA holds none of these items. It gathers the descriptions that holding institutions publish, through state and regional "hubs", and every record points back at the item on the holding institution's own site. That page is where the evidence is and what a citation names. The server is built around that fact: each hit carries is_shown_at (the item at its holder), the holding institution, and the rights statement for the digital copy; get_item assembles the parts of a citation of the holder's record; and get_item_images lists the page images from the holder's own IIIF manifest when it publishes one.

It works the way a careful genealogist does. A DPLA record is a finding aid to a finding aid: written by the institution, harvested by a hub, and enriched by DPLA. DPLA searches that metadata only, never the text inside a book or on a page. The tools say so, in the descriptions a model reads.

Nothing here writes anywhere, and nothing here keeps a family tree. It sits well beside nara-catalog-mcp (federal records, with OCR and page images), snac-archives-mcp (which archive holds the papers) and familysearch-mcp (indexed records and images).

This is an independent project. It is not affiliated with, endorsed by, or supported by the Digital Public Library of America or any contributing institution.

Tools

The server publishes six tools, all read-only and annotated so for the client. One makes no network call at all.

Finding items

ToolPurpose
search_itemsThe everyday search: words, title, place, a date range, holding institution, hub, item type. Each hit names its holding institution, the item's address there (is_shown_at), its rights statement, and whether page images can be listed. Copies of one work held in several places are flagged.
search_items_advancedThe same, with every filter DPLA offers: county, state and city as DPLA geocoded them, subject, collection, publisher, format, creator, identifier, the period an item is *about*, rights, exact matching, any-of matching, sorting, and leaving out National Archives records.
facet_itemsCounts before searching: which institutions hold plat books of a county, which years a run of directories covers, which hubs cover a place.

Reading an item

ToolPurpose
get_itemUp to 20 records in full, each with citation_parts: the holding institution, title, date, the institution's own identifiers (call numbers, local ids, OCLC numbers, read from the harvested record too), is_shown_at, rights, and the DPLA id as a finder. Optionally the raw harvested record.
get_item_imagesThe page images, from the IIIF manifest on the holding institution's site (Presentation API 2 and 3), a stretch of the list at a time. When a site refuses scripts, it says so and gives the address to open in a browser.

The server itself

ToolPurpose
api_statusWhether a key is configured (never the key), this session's calls and cache hits, and the last error. Makes no request.

Setup

You need Python 3.11 or later, uv, and a DPLA API key.

The key is free and arrives at once, but it is issued to an email address, so request it yourself:

curl -X POST https://api.dp.la/v2/api_key/you@example.org

DPLA emails a 32-character key to that address. Asking again re-sends the same key. DPLA records only the email address, and counts each call made with the key.

Without cloning. uvx fetches the server from PyPI and runs it in one step:

DPLA_API_KEY=your-key uvx dpla-catalog-mcp

From a clone, which is what you want if you will change it:

git clone https://github.com/ianderso/dpla-catalog-mcp

cd dpla-catalog-mcp uv sync cp .env.example .env # then put your key in .env uv run dpla-catalog-mcp # stdio server, usually launched by the client

Either way the server speaks MCP over stdio, so you will normally let an MCP client start it rather than run it by hand.

Claude Desktop
{

"mcpServers": { "dpla": { "command": "uvx", "args": ["dpla-catalog-mcp"], "env": { "DPLA_API_KEY": "your-key" } } } }

A desktop app does not always inherit your shell's PATH. If the server fails to start because uvx cannot be found, give the full path that which uvx prints as the command.

Claude Code
claude mcp add dpla --env DPLA_API_KEY="$DPLA_API_KEY" -- uvx dpla-catalog-mcp

Or keep the key in a .env file and have the launcher read it, so it is in neither the client's configuration nor your shell history:

"dpla": { "type": "stdio", "command": "sh", "args": ["-c",

"set -a; . \"$HOME/research/.env\"; set +a; exec uvx dpla-catalog-mcp@latest"] }

Configuration

VariableMeaning
DPLA_API_KEYYour key. Required. A missing or malformed key is reported on the first tool call as not_configured, without repeating the value.
DPLA_CACHE_DIRResponse cache directory. Default ~/.cache/dpla-catalog-mcp.
DPLA_TIMEOUTHTTP timeout in seconds. Default 30.
DPLA_MIN_INTERVALLeast seconds between requests to DPLA. Default 0.25.

A .env file in the directory the server starts in supplies anything the environment does not; only that directory is read. An unusable value is reported on the first tool call, naming the variable.

Being a good guest

DPLA sets no quota, but every call is counted against the key. The server sends one request at a time, at least DPLA_MIN_INTERVAL apart; two identical calls in flight share one request; searches and facets are cached on disk for 7 days and records and manifests for 30 (DPLA re-harvests monthly). A 429 or a 5xx gets one retry, honouring Retry-After up to 30 seconds, and is then reported as rate_limited or upstream_error, which is never the same as "nothing found". Requests to institutions' sites are spaced a second apart per site and never retried.

How to read what comes back

  • A hit is a description, not the item. Open is_shown_at, read the item there (or its page images), and cite the holding institution and its record, for example "Standard atlas of Champaign County, Illinois (Brock & Company, 1929), University of Illinois Urbana-Champaign Library, digital.library.illinois.edu/items/465c93c0-…". Not DPLA, and not the hub. In a genealogy database: repository = the holding institution; source = the item; citation = the page or plate, with is_shown_at and the institution's identifier. Keep the DPLA id as an attribute, a finder only.
  • DPLA does not search inside books or pages. A surname printed in a city directory, a county history or a yearbook will not match. Use DPLA to find *which volume exists and where*, then search its text at the holder: the Internet Archive's full-text search, HathiTrust's, the Portal to Texas History's, Chronicling America's. No hits means no description matched, not that the person is absent.
  • Places are often missing, and enriched when present. Many records name no place at all (the University of Illinois's county atlases carry none), so search the county in query or title as well as place. county, state and city are DPLA's geocoding, filled for few records (mostly Massachusetts). Facet on place to see places as the records name them.
  • Dates match by overlap. date_after=1905 matches an item dated 1900-1909. "ca. 1900" may be indexed as a decade. display_date is what the institution wrote.
  • One work, several copies. A county history is often in DPLA as a HathiTrust copy, an Internet Archive copy and a state hub's scan. possible_duplicate_of flags them within a page of results, by title and year; prefer the copy whose holder publishes page images and full text.
  • National Archives records are a third of DPLA and duplicate the NARA Catalog. They are better read with nara-catalog-mcp, which has the NAID, the OCR text and the images. exclude_nara leaves them out.
  • Rights belong to the digital copy and vary by institution. Read rights (a rightsstatements.org or Creative Commons address, with a short label) before republishing an image. Some hubs, such as the Portal to Texas History, give only a free-text statement. A thumbnail is not evidence.
  • Ids are finders, not citations. A DPLA id is a hash of the hub's local id, so it changes when a hub moves platform, and the old id stops working. Record is_shown_at and the institution's own identifier as well.
  • Exact matching is literal. exact=true matches a whole value, case-sensitively, as facet_items returns it. DPLA has no exact form of creator or identifier, so those are refused with exact.
  • Paging stops at page 100. DPLA answers any higher page with page 100 again, silently; the server refuses instead, and says how many hits paging can reach. Narrow the search, or use facet_items to see how the hits divide.
  • Some sites refuse scripts. The University of Illinois and the HathiTrust catalog answer automated requests with 403. The server reports that and gives open_in_browser; it does not work around a refusal.
  • Descriptions are untrusted text, written by hundreds of institutions, and the raw harvested record is exactly that. Treat it as material to weigh, never as instructions.

Deliberately not here

  • Requesting a key. POST /v2/api_key/{email} sends email in someone's name. You request your own key.
  • Downloading page images and bulk downloads. Listed as later work in docs/DESIGN.md. The image addresses are in the get_item_images result.
  • DPLA's collections route, which is gone (it answers 404), its random item and archive-request routes, and its Primary Source Sets (K-12 teaching sets): none has research value here.
  • A raw-query passthrough. It would bypass the local checks that keep the server from spending calls on what DPLA would refuse.
  • Working around a site's bot protection. A refusal is reported, not evaded.

Security

  • The key goes to one place, one way. It is sent only to https://api.dp.la, only in the Authorization header: never in a URL, a log line, a cache key or file, an error message, or a tool parameter. A request hook refuses any other host for the key-bearing client, and redirects are not followed.
  • Institutions' sites get no credentials. Manifests are fetched by a separate client that holds no key and strips any Authorization or Cookie header. It refuses IP addresses, local names and DPLA's own host, on the first request and on every redirect.
  • Inputs are checked before a request is made: ids, dates, text lengths, enumerations, and the page limit. Query text has the characters that DPLA's parser would read as syntax escaped.
  • Catalogue text is untrusted. Descrip

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