Anna's Archive and OpenAlex
Find books, papers and dissertations with Anna's Archive and OpenAlex, then download or read them.
제작자가 쓴 설명(영어 원문)
Search the Internet Archive, the Library of Congress and data.bnf.fr at once, in one answer.
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.
BOOKS_USER_AGENT, BOOKS_MIN_INTERVAL_MS, BOOKS_TIMEOUT_MS, BOOKS_MAX_RETRIES, BOOKS_CACHE_TTL_MS, BOOKS_CACHE_MAX_ENTRIES, BOOKS_LOG_LEVEL필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
claude mcp add books --env BOOKS_USER_AGENT=your-value --env BOOKS_MIN_INTERVAL_MS=your-value --env BOOKS_TIMEOUT_MS=your-value --env BOOKS_MAX_RETRIES=your-value --env BOOKS_CACHE_TTL_MS=your-value --env BOOKS_CACHE_MAX_ENTRIES=your-value --env BOOKS_LOG_LEVEL=your-value -- npx -y mcp-books실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"books": {
"command": "npx",
"args": [
"-y",
"mcp-books"
],
"env": {
"BOOKS_USER_AGENT": "your-value",
"BOOKS_MIN_INTERVAL_MS": "your-value",
"BOOKS_TIMEOUT_MS": "your-value",
"BOOKS_MAX_RETRIES": "your-value",
"BOOKS_CACHE_TTL_MS": "your-value",
"BOOKS_CACHE_MAX_ENTRIES": "your-value",
"BOOKS_LOG_LEVEL": "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": {
"books": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-books"
],
"env": {
"BOOKS_USER_AGENT": "your-value",
"BOOKS_MIN_INTERVAL_MS": "your-value",
"BOOKS_TIMEOUT_MS": "your-value",
"BOOKS_MAX_RETRIES": "your-value",
"BOOKS_CACHE_TTL_MS": "your-value",
"BOOKS_CACHE_MAX_ENTRIES": "your-value",
"BOOKS_LOG_LEVEL": "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.
BOOKS_USER_AGENT envBOOKS_MIN_INTERVAL_MS envBOOKS_TIMEOUT_MS envBOOKS_MAX_RETRIES envBOOKS_CACHE_TTL_MS envBOOKS_CACHE_MAX_ENTRIES envBOOKS_LOG_LEVEL 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 smeet666 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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
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(2.1.0)은 9일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js, MCPB도 있어야 해요.
같은 카테고리에는: Anna's Archive and OpenAlex, Neural Cosmology, slopped.site
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Find books, papers and dissertations with Anna's Archive and OpenAlex, then download or read them.
Answers, essays, experiments and books on consciousness and cosmology: search, read, buy.
Read-only tools over slopped.site: AI-made art, lore, games, sites, the curriculum.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Three great archives hold the scanned record of what was published, and each describes it in its own words. The Internet Archive keeps books, films, recordings and software deposited by anyone, and has run millions of them through optical character recognition. The Library of Congress publishes the national collections of the United States, one catalogue per kind of material. data.bnf.fr publishes the authority records of the Bibliothèque nationale de France, which describe works and the people who wrote them rather than copies.
This server reads all three with one question. You can search the words inside the scanned documents, search the catalogues, and read one record in a single shape whichever archive holds it. It needs no API key and no account.
_Version française_
One-click install
Claude Code
claude mcp add books -- npx -y mcp-books
Claude Desktop, Cursor, and any client using the standard config format
{
"mcpServers": { "books": { "command": "npx", "args": ["-y", "mcp-books"] } } }
Node 24 or later is required, and no environment variable has to be set.
{
"mcpServers": { "books": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/smeet666/mcp-books:2.1.0"] } } }
-i keeps stdin open, which is where the protocol travels, and -t is left out because a TTY rewrites the stream. The container needs outbound HTTPS to archive.org, openlibrary.org, www.loc.gov and data.bnf.fr, and nothing else: no volume, no port, no credential.
Download mcp-books-2.1.0.mcpb from the latest release and open it. A client that supports MCP bundles installs it on its own, with no npm and no configuration file to edit. The bundle carries its dependencies, so nothing is fetched at install time.
An answer takes several seconds: three archives are asked, each at its own pace.
| Source | Archive | What it describes |
|---|---|---|
archive | the Internet Archive | deposited copies, of every kind |
loc | the Library of Congress | the national collections, one catalogue per kind |
bnf | the Bibliothèque nationale de France | works and the people who wrote them |
A row's id names its archive, so an identifier read from one answer goes back to the right one. Counts are never added across archives, and an archive that failed is reported as having failed rather than as having found nothing.
| Tool | What it does |
|---|---|
search_inside | Searches the words inside the scanned documents. |
search_items | Searches the catalogues by title, creator, subject or plain words. |
get_item | Reads one record in a single shape, whichever archive holds it. |
search_insideSearches the text inside the scanned documents, which came off the page through optical character recognition.
| Argument | Type | Required | What it does |
|---|---|---|---|
query | string, 2 to 300 characters | yes | The phrase to look for inside the documents. |
limit | integer, 1 to 25, default 3 | no | Matches to keep from each archive. |
page | integer, 1 to 100, default 1 | no | Which page of matches. |
max_excerpt_chars | integer, 80 to 1200, default 300 | no | How much of a passage to serve. |
max_excerpts_per_match | integer, 1 to 10, default 2 | no | Passages served per matching document. |
fan_out | boolean, default true | no | Ask every archive rather than stopping at the first that answers. |
sources | array of source ids | no | Ask these archives alone. |
In return: hits, each carrying id, which get_item takes and which names its archive; source and source_name; the archive's own identifier without the prefix; title, creator and year; page_number where the archive states one; excerpts; and excerpt_kind.
`excerpt_kind` decides what an excerpt is worth. A passage is the text around the words that matched. A page_opening is the start of the page, sent because the machine-read text the archive returned stops before those words appear: it does not carry the match, so quoting it quotes something else. All the excerpts of one match are of one kind.
search_itemsSearches the catalogues.
| Argument | Type | Required | What it does |
|---|---|---|---|
query | string, 1 to 300 characters | yes | A title, a creator, a subject, or plain words. |
media_type | a kind one of the archives holds | no | Which kind of material to search. |
year_from | integer, 1000 to 2100 | no | Earliest year. |
year_to | integer, 1000 to 2100 | no | Latest year. |
sort | relevance, newest, oldest or title, default relevance | no | How the rows are ordered. |
limit | integer, 1 to 25, default 5 | no | Rows to keep from each archive. |
page | integer, 1 to 100, default 1 | no | Which page of rows. |
fan_out | boolean, default true | no | Ask every archive. |
sources | array of source ids | no | Ask these archives alone. |
The three archives divide their material differently. The Internet Archive searches every kind at once when none is named; the Library of Congress is one route per kind, so a search naming none is told which one was read; and the BnF search reads works. A media_type one archive has no notion of leaves that archive out, and the answer says so.
In return: rows in the shape a hit carries, with per_source giving one report per archive: its status, the count it contributed, its reported_total and reported_total_means, which says what that number counts there.
get_itemReads one record in a single shape, whichever archive holds it.
| Argument | Type | Required | What it does |
|---|---|---|---|
identifier | string, 1 to 500 characters | yes | The id a row carries. |
sections | array of description, subjects, copies, context, default ["description"] | no | Which parts to return. |
max_copies | integer, 1 to 50, default 10 | no | Copies to list. |
text_offset | integer, 0 to 1000000, default 0 | no | Where to resume the text. |
max_text_chars | integer, 200 to 8000, default 1500 | no | How much text to serve. |
In return: the record with its id, source and source_name, the archive's own identifier, title, creator, date exactly as published, and year beside year_means, which says what that year is the year of, since the three archives date a record differently. attribution is what that archive asks to be credited with, and identifier_provisional says when the identifier was built rather than read, so a caller knows it may not resolve.
Every answer accounts for each archive separately. One that failed, one nobody asked, and one that answered with nothing are three different things, and they are reported as three. A total stays beside the archive that published it, with what that archive counts when it says it: one counts documents, another counts newspaper leaves.
The words inside a scanned document came off the page through optical character recognition. An excerpt carries the misreadings of that process, and it is served as it was read rather than corrected. Quote it as scanned text,
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요