Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Remote MCP server for full read/write access to a Zotero library
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.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://citecaddy.herbertkokholm.dk/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http cite-caddy https://citecaddy.herbertkokholm.dk/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"cite-caddy": {
"url": "https://citecaddy.herbertkokholm.dk/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"cite-caddy": {
"type": "http",
"url": "https://citecaddy.herbertkokholm.dk/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://citecaddy.herbertkokholm.dk/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
서버가 도구 목록을 보여 주기 전에 로그인을 요구해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 9일 점검
레지스트리 이름이 도메인 citecaddy.herbertkokholm.dk 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
864ms 만에 응답(HTTP 401)
OAuth 로그인을 지원한다고 밝혀서, AI 앱이 로그인 화면으로 안내해 줘요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 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.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.3.13)은 5일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Tethered Trust
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
A reference-library bridge for AI assistants — a standalone, remote MCP server.
Independent, unofficial project. Not affiliated with, endorsed by, or
sponsored by the Corporation for Digital Scholarship (Zotero) —
Built on the Zotero Web API; today's backend is Zotero, but the name and
tool surface are meant to support others later.
Cite Caddy gives full read/write access to a Zotero library — search, add, tag, update, delete, and move items; create, rename, and delete collections; upload/download attachments and read their extracted full text; read and write item notes; manage tags, trash, and saved searches library-wide; and look up Zotero's own item-type/field schema. 39 tools total — see Tools below for the full list.
Read-only tools that match findings against a Zotero library (e.g. by DOI/arXiv ID) can safely stop at reporting — they never need to write anything back. This project goes further on purpose: full CRUD against a Zotero library, including delete and move, so that tagging, adding, and cleaning up items can be automated too.
That's a deliberate scope choice, and it comes with a real risk: any write that changes an existing item's *key* (delete, move to another library, "clean library" reset) breaks Word documents that cite it via the Zotero Word plugin's live field codes — see "Key safety" below before touching delete/move.
Any Zotero item cited in a Word document via the Zotero Word plugin is referenced by that item's key, embedded in a live field code. Operations that preserve an item's key (create, update fields, add/remove tags, add notes) are safe. Operations that don't (delete, and library-to-library move, which Zotero implements as delete+recreate) will break those citations silently — the Word document won't error, it'll just show stale/broken field text next time someone updates fields or opens Zotero the next time.
Full CRUD was chosen deliberately for this project despite that risk. When implementing delete/move tools:
version (optimistic concurrency) so a delete/update can't silently clobber a change made concurrently from the Zotero desktop app or another client.delete_item_permanently, delete_collection, delete_tag, delete_saved_search, move_item_to_different_library, and update_publication_status all accept an optional idempotency_key. Pass the same opaque string when retrying a call after a lost or ambiguous response (e.g. a network timeout) and the *original* outcome — success or error — is replayed instead of running the operation against Zotero again. Reusing a key for a call with different arguments raises an error instead of silently returning the old result, so it's safe to generate one key per logical request and reuse it freely on retries of that same request.
This matters most for move_item_to_different_library: it recreates the item in the target library, then deletes it from the source. If the create succeeds but the delete then fails, a bare retry would redo the whole thing — since the source item's version hasn't changed — creating a *second* duplicate in the target library. With idempotency_key, the retry replays the cached failure (and its "clean up manually" guidance) instead of touching Zotero again.
The cache is in-memory per server process (per onboarded tenant in HTTP mode), with a 24h TTL — it survives retries within that window, not across a redeploy/restart.
stdio mode (local, single-user — no $PORT): the library to connect to comes from env vars.
ZOTERO_LIBRARY_ID numeric library ID (user or group)
ZOTERO_LIBRARY_TYPE "user" or "group" (default: user) ZOTERO_API_KEY from Zotero -> Settings -> Security -> Applications (needs write permission, not just read)
HTTP mode (remote, multi-tenant — $PORT set): there's no single configured library — each caller brings their own Zotero Library ID/Type/API Key via the /login form (see "Deployment" below). Instead:
MCP_TOKEN_STORE_KEY Fernet key encrypting onboarded tenants' API keys at
rest; generate once at deploy time with: python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())" MCP_PUBLIC_URL public HTTPS URL this server is reachable at MCP_DATA_DIR where OAuth clients/tokens/tenants persist (default: ./.data)
Optional in either mode:
MCP_WEBSITE_URL public site reported as serverInfo.website_url; also used to
build serverInfo.icons[0].src as MCP_WEBSITE_URL + "icons/icon.svg" and the /login page's privacy policy link as MCP_WEBSITE_URL + "privacy.html" (both files must actually be served there). Left unset, all three are simply omitted. MCP_SECURITY_CONTACT security contact (email or URI) served as /.well-known/security.txt (RFC 9116), e.g. for MCPBundles' ownership verification. Left unset, that path 404s.
Ships as its own Docker container (docker-compose.yml), meant to sit behind a reverse proxy that terminates TLS and forwards to the container's port on localhost. Remote/hosted by default, not a local stdio server — an MCP client just points at the URL, nothing to install or run locally.
Access is gated by a real OAuth 2.1 authorization server built into the app itself (app/oauth_provider.py), not HTTP Basic Auth in front of it. This is a deliberate design choice: Claude Desktop/claude.ai's "Add custom connector" UI is OAuth-first — it always tries the OAuth discovery + authorization-code dance against a new server, so a plain 401 in front of the server (as Basic Auth would produce) gets read as "this server needs OAuth" and fails once it hits a nonexistent /authorize endpoint. Implementing a real (if minimal) OAuth server is what makes "Add custom connector" work.
Multi-tenant and self-service: /authorize doesn't delegate to a third-party identity provider — it shows a first-party login form asking for a Zotero Library ID, Library Type, and API Key. Submitting the form validates the key directly against the Zotero API; a successful validation both grants access and registers ("onboards") that library as a tenant of this server, all in one step — there's no separate sign-up and no admin approval. Any MCP client can dynamically register itself (RFC 7591), but completing the login form with a working Zotero key is what actually gates access. Each caller's tool calls are then routed to their own Zotero library, not a shared one. See app/oauth_provider.py's module docstring for the full flow. Registered clients, issued tokens, and onboarded tenants' credentials (API keys encrypted at rest with MCP_TOKEN_STORE_KEY) persist to MCP_DATA_DIR (a Docker volume) so redeploys don't log connected clients out or forget onboarded tenants.
.env on the host (not in this repo) holds MCP_TOKEN_STORE_KEY/ MCP_PUBLIC_URL, consumed via docker-compose.yml's env_file:. ZOTERO_LIBRARY_ID/ZOTERO_LIBRARY_TYPE/ZOTERO_API_KEY are not needed for the HTTP deployment — those only apply to stdio mode.
.github/workflows/deploy.yml automates redeploying to an already set-up host: manual trigger only (workflow_dispatch, never on push), runs the test suite first, then syncs the repo over SSH and rebuilds the container. It needs its own GitHub Actions secrets for the deploy SSH key and target host/port/user — see the workflow file for the full list. Use a dedicated deploy key (not whatever key you use for direct/manual access), so it can be revoked independently if it ever leaks.
Four unauthenticated GET endpoints, HTTP mode only (all require $PORT, same as /login):
200 OK, for a load balancer/uptime check. {
"version": "2.1.0", "uptime_seconds": 41213, "tenants": 7, "tool_calls": {"search_items": 512, "add_tags": 41}, "tool_errors": {"add_tags": 2} }
tenants is TokenStore.tenant_count() — just the number of onboarded Zotero libraries. tool_calls/tool_errors are per-tool-name counts across *all* tenants combined, recorded by a tools/call middleware (_track_tool_call in app/mcp_server.py). Deliberately no per-tenant or per-library breakdown anywhere in this response — that's what keeps it safe to leave unauthenticated, unlike the 39 tools themselves. Counters live in app/metrics.py, in-memory only: they reset to zero on every restart/redeploy, same as this isn't a metrics/analytics system, just a lightweight "is it up and roughly how busy is it" signal.
/status, rendered as a small page (name + icon, one table of version/uptime/tenants, one table of per-tool call/error counts) for a human checking in a browser rather than a script. Icon only renders when MCP_WEBSITE_URL is set, same as /login's.MCP_SECURITY_CONTACT is set (404 otherwise). Expires is computed per request as one year out, so it never goes stale. MCPBundles reads this to verify ownership when publishing the server to its directory..well-known/ai-catalog.json instead) — it's not a general claim of spec compliance, and may need to change if/when SEP-2127 (or a successor) actually ratifies with a different contract.39 tools total, grouped by risk (see "Key safety" above before using any Destructive tool). Tools marked ✓ under Version require the item's/collection's current Zotero version (from `search_
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