Context7
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제작자가 쓴 설명(영어 원문)
Search the Digital Public Library of America; reach the holding institution's record and images.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
DPLA_API_KEY, DPLA_CACHE_DIR, DPLA_TIMEOUT, DPLA_MIN_INTERVAL비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"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"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
DPLA_CACHE_DIR envDPLA_TIMEOUT envDPLA_MIN_INTERVAL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 ianderso 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: DPLA_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.1)은 31일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
The server publishes six tools, all read-only and annotated so for the client. One makes no network call at all.
Finding items
| Tool | Purpose |
|---|---|
search_items | The 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_advanced | The 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_items | Counts 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
| Tool | Purpose |
|---|---|
get_item | Up 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_images | The 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
| Tool | Purpose |
|---|---|
api_status | Whether a key is configured (never the key), this session's calls and cache hits, and the last error. Makes no request. |
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.
{
"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 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"] }
| Variable | Meaning |
|---|---|
DPLA_API_KEY | Your key. Required. A missing or malformed key is reported on the first tool call as not_configured, without repeating the value. |
DPLA_CACHE_DIR | Response cache directory. Default ~/.cache/dpla-catalog-mcp. |
DPLA_TIMEOUT | HTTP timeout in seconds. Default 30. |
DPLA_MIN_INTERVAL | Least 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.
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.
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.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.date_after=1905 matches an item dated 1900-1909. "ca. 1900" may be indexed as a decade. display_date is what the institution wrote.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.exclude_nara leaves them out.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.is_shown_at and the institution's own identifier as well.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.facet_items to see how the hits divide.open_in_browser; it does not work around a refusal.POST /v2/api_key/{email} sends email in someone's name. You request your own key.get_item_images result.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.Authorization or Cookie header. It refuses IP addresses, local names and DPLA's own host, on the first request and on every redirect.앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요