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제작자가 쓴 설명(영어 원문)
Look up words in the Azerbaijani explanatory dictionary; downloads its database once (local only).
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.
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": {
"dict": {
"command": "uvx",
"args": [
"azerbaijan-mcp-dict"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add dict -- uvx azerbaijan-mcp-dict프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"dict": {
"command": "uvx",
"args": [
"azerbaijan-mcp-dict"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"dict": {
"type": "stdio",
"command": "uvx",
"args": [
"azerbaijan-mcp-dict"
]
}
}
}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.
이 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 8일 점검
레지스트리 이름이 GitHub 계정 azerbaijan-mcp 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(0.1.2)은 4일 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.
Local-only MCP server for the explanatory dictionary of the Azerbaijani language, *Azərbaycan dilinin izahlı lüğəti* (four volumes, about 45,000 entries). It looks words up, finds entries by what they say and walks the dictionary in print order, with the volume, page and column of every entry.
On first use the server downloads the dictionary's database once, 5.6 MB, from this project's release page and keeps it in your cache folder with a search index built from it. The dictionary is a copyrighted print work and the project has no licence for it: read *Data source and terms* below. Set DICT_DB to use a database of your own instead. The server runs on your computer and is never offered as a hosted service.
| Tool | What it does |
|---|---|
define(word, max_chars?) | The entries of a headword, in print order, with their meanings, etymology note (origin), place in the volumes and the headwords their bax pointers lead to. Homonyms are separate entries (ÇAY¹, ÇAY²). Entries are cut at max_chars (3,000 by default, up to 50,000). A miss lists headwords to try. |
search(query, exact?, limit?, offset?) | The entries whose text has all the words, the headword the query spells first. Use it to find a word by its meaning (su qabı). limit is 1-50 (default 10) and next_offset pages on. |
browse(word?, entry_id?, before?, after?) | The entries around a headword in print order, like turning the pages: before and after are 0-50 (3 and 7 by default). next_id and previous_id go on from either end. |
read_entry(entry_id, offset?, max_chars?) | An entry from a character offset, to read what define or search cut short. A few entries run to tens of thousands of characters. |
A typical question, "what is the word for a vessel for water?", takes search("su qabı"), then define of the headword it finds. "What comes after *kitab* in the dictionary?" is browse("kitab").
Things worth knowing:
kitab, not kitabları. define then answers match: none with suggestions (the stem, headwords that begin with the word, near misses) and a note.AB(B)ASI, ÇAY², AB-HAVA, ABÜHAVA) or with the number a pointer gives it (çay2); other dashes, curly quotes and invisible characters. Case: I and İ are different letters and are lower-cased as Azerbaijani does. Accents and hyphens, when no headword is spelled as given: seher finds şəhər and səhər (match: accent_free); a space stands for a hyphen (ata baba). A variant is found under each spelling: AB(B)ASI as abası and abbası, AB-HAVA,ABÜHAVA as two words. An exact spelling wins over the same word without accents (el and əl are different words).bax X (see X) comes with X's entry in followed, two steps at most. Other pointers inside an entry are listed in see, with the entries they lead to. A pointer to a numbered sense (bax dərd 3-cü mənada) leads to the headword: read its text for the sense.OR, and at most twelve words are used. Azerbaijani adds endings, so a word of four letters or more is matched by its first five letters (içmək finds içir and içən); exact=true matches whole words. Accents must be right here, unlike in define.volume, pdf_page and column. The page is the page of the volume's PDF, which can differ from the printed page number.ata-baba), or the word is a doubled one (aşkar-aşkar), a number with its ending (1931-ci) or starts with qeyri-; a compound that occurs only once, broken at its hyphen, loses the hyphen. The letter-spaced italic b a x of the PDF is read as bax. Cite the printed dictionary, not this server.origin is the note in square brackets after the part of speech (ər., fars., fr., əsli lat.); about 11,000 entries have one.%LOCALAPPDATA%\azerbaijan-mcp\dict on Windows, ~/Library/Caches/azerbaijan-mcp/dict on macOS, ~/.cache/azerbaijan-mcp/dict elsewhere) and reused until the database file changes. Each database gets its own index file, so several can share the folder. A database you name is opened read-only and never written. The cache can be deleted at any time: the next call fetches and builds again. A file cut short, because the process was killed while it was being copied into place, is noticed and fetched or built again.Add to your MCP client configuration (requires uv):
{
"mcpServers": { "dict": { "command": "uvx", "args": ["azerbaijan-mcp-dict"] } } }
In Claude Code: claude mcp add dict -- uvx azerbaijan-mcp-dict.
Three optional settings go in the client's env:
| Variable | Default | Meaning |
|---|---|---|
DICT_DB | none | Path of a dictionary database of your own. The published one is then not downloaded. |
DICT_DATA_URL | the release page of this repository | A mirror of the published database, https only (http for this computer). Its SHA-256 is still checked. |
DICT_CACHE_DIR | the cache folder above | Where the database and the index are kept. A folder where the system refuses renames works too, for example %LOCALAPPDATA% for a server the Claude desktop app starts on Windows (WinError 17): the files are copied into place instead. |
The published database is the file dict-1.sqlite.gz of the release dict-data-1: 45,353 entries, 5,657,352 bytes, SHA-256 44515ffca32d7cefc9f659bbe1ecefa82dc6908f17b5d434daffd1f921162022, which the package pins, so a file that differs is never used. python -m azerbaijan_mcp_dict.asset source.sqlite out.sqlite.gz packs a database that way and prints the numbers to pin.
A database of your own needs one table, entries, and the server reads only the columns below. A metadata table is optional.
CREATE TABLE entries (
id INTEGER PRIMARY KEY, -- print order volume INTEGER NOT NULL, -- 1 to 4 headword TEXT NOT NULL, -- as printed: ÇAY, AB(B)ASI, AB-HAVA,ABÜHAVA homonym_index INTEGER, -- 1, 2, ... for homonyms, else NULL entry_text TEXT NOT NULL, -- what follows the headword, lines as the PDF breaks them start_page INTEGER NOT NULL, -- PDF page of the volume the entry starts on end_page INTEGER NOT NULL, start_column INTEGER NOT NULL -- 1 or 2 ); CREATE TABLE metadata (key TEXT PRIMARY KEY, value TEXT NOT NULL);
metadata keys that are used: database_title, which names the source in every answer, and entry_count, which is checked against the table so that a truncated file is refused. Other columns and tables are ignored. The database the published one was made from has a full-text index of its own; the server does not use it, because it misses every word that starts a sentence with a capital İ (iki finds 1,324 of the 1,656 entries that have it). A script that rebuilds the database from the PDFs is tracked in MCP-31.
The only request the server makes is the one download of the database, from github.com, once for each cache folder. Answers to the checklist in the repository's data policy, read on 2026-11-03:
azerbaijan-mcp-dict/ (+ ), makes one request, retries once for a network error or a server error, stops on HTTP 403 and 429, refuses more than 100 MB and uses nothing whose SHA-256 differs from the pinned one. It is kept for good in the cache folder. The tests run with outside network access blocked.source (the database's title) and an attribution that says the text is an unofficial machine extraction, and every entry has its volume, PDF page and column.tests/ builds an invented dictionary in the layout of the real one; no line of the real dictionary is in this repository. To run the contract tests against your own database, and to check the published one:
DICT_DB=/path/to/azerbaycan_lugeti_1-4.sqlite uv run pytest -m live packages/dict
Unofficial project, not affiliated with or endorsed by the publisher or the institute that compiled the dictionary.