Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Checks whether each cited source supports the claim it backs. Blinded human-first, local-first.
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": {
"citevahti": {
"command": "uvx",
"args": [
"citevahti"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add citevahti -- uvx citevahti프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"citevahti": {
"command": "uvx",
"args": [
"citevahti"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"citevahti": {
"type": "stdio",
"command": "uvx",
"args": [
"citevahti"
]
}
}
}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 heidihelena 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(0.46.0)은 3개월 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: Spec Driven Development, Remote Desktop Commander, Cape Winelands Visit Planner
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.
Cape Winelands wine farm finder and day-route planner
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Does the cited paper actually support the claim? Check every citation in your manuscript — before a reviewer does.
CiteVahti walks you through your manuscript one claim at a time. You decide whether each cited source really backs the sentence; an optional AI gives a *blinded* second opinion (you rate first, it can never overrule you); and every decision is saved as a timestamped, tamper-evident record on your own computer.
Free while in beta. CiteVahti is local-first: your manuscript stays on your device
unless *you* choose to turn on an external AI model. No account. Nothing uploaded.
What beta means here: the review workflow and your data format are stable, but the
tool is young and your feedback still shapes it. The app does not update itself yet —
when a new version ships you replace it yourself (steps under *Updating*, below; the
panel can check for a newer version, but only if you turn that on). If something is
confusing or judged wrong, say so — beta reports are how it improves.
Researchers, clinicians, and students who write papers and want to be sure every citation holds up — without learning new software or touching a command line. If you can open a file on your computer, you can use CiteVahti.
What it does for you
On a Mac, use the desktop app. It's a normal app: download it, open it, review.
.docx or .md) onto the window. The panel walks you through the rest, one step at a time — there's nothing to memorise.Want an AI assistant to help pre-screen citations? Whenever you're ready, click the CiteVahti menu-bar icon → Start Agent Server. CiteVahti first explains exactly what an assistant can and cannot do — and either way, you rate every claim yourself and make every final call.
If you already work in Claude, install CiteVahti as a one-click extension and drive the review by chatting. *(This is also the path on Windows and Linux, where the desktop app isn't available yet.)*
citevahti- -macos-arm64.mcpb *(signed + notarized)*citevahti- -windows-x64.mcpbcitevahti- -linux-x64.mcpbFirst time on macOS you may see a one-time security prompt — the extension is a zip,
which macOS can't pre-stamp even though the app inside is signed and notarized. If it
appears: right-click the file → Open, or go to **System Settings → Privacy & Security →
"Open Anyway"**. After that it installs and runs normally.
First time on Windows you may see a SmartScreen warning ("Windows protected your PC")
— the Windows build is unsigned, so Windows can't check who published it. If it appears:
click More info, then Run anyway. After that it installs and runs normally.
Updating — your review data is never touched; only the program is replaced
CiteVahti.app, download the newest citevahti- -macos-arm64.app.zip from the latest release, and replace the old CiteVahti.app in Applications with it. Your reviews live in the project folder you chose, not inside the app, so nothing is lost..mcpb from the latest release. Ask your assistant to run the `status` tool to confirm the running version. *(macOS Intel: install via pip install "citevahti[mcp]", or run the Apple-Silicon .mcpb under Rosetta.)*pip install --no-cache-dir --upgrade "citevahti[mcp]", then pip show citevahti to confirm the version.For developers & technical readers — pip, CLI, architecture, security
Everything below assumes a terminal; none of it is needed to use the app.
Try it on synthetic data (nothing of yours touched — builds an invented ledger and opens the panel showing every claim state):
pip install "citevahti[mcp]"
citevahti demo
Run the review panel from the terminal:
pip install "citevahti[mcp]"
citevahti run
CiteVahti opens the review panel on your machine at 127.0.0.1 and tells you the one next thing to do.
Run the desktop app from source (the same supervised shell as the packaged .app):
pip install "citevahti[app]"
citevahti-app
What the app actually runs: CiteVahti.app is a thin shell supervising two local processes — the review panel engine (for you) and an optional MCP agent server (for a chat client; it can suggest and stage, but it can never rate for you, see your rating first, or make the final call). Both bind only to 127.0.0.1, write rotating logs (menu-bar icon → *Open Logs Folder*), exit on their own if the app dies, and shut down cleanly when you quit. The agent server is off until you enable it and can be stopped anytime from the menu bar.
Deeper reading:
CiteVahti always tells you the one next thing to do — there's no command to remember and nothing to set up.
You start by adding your manuscript — choose a Word or Markdown file, drag it onto the window, or paste the text. Nothing is uploaded.
Then you work through each claim on a simple card that walks a visible Rate → Reveal → Decide → Write path, so you always know where you are:
Every decision is saved to a timestamped, tamper-evident review record — a plain-language log of what you reviewed and in what order. Export it as a Word document, a print-ready report, or a review-packet .zip (which even includes an auto-filled methods paragraph with your review's real numbers) for a methods section, a co-author, a supervisor, or a journal.
Stop losing evidence work after each project. Most citation checks vanish after one manuscript or one deadline. Every claim you assess in CiteVahti is saved to your own private evidence map, so next time you work on the same topic you don't start from zero — pull back earlier judgments, see what you already checked, and spot where the literature is thin, contradictory, or overclaimed.
It stays on your machine. Sharing into the wider, de-identified community evidence map is a separate, opt-in step, and you preview the exact payload before anything is sent — never your manuscript, search history, patient data, registry data, or private project identifiers.
You always rate first. CiteVahti can then show a second rating from an AI, and compare the two — but the AI value stays hidden until your rating is in, and the final decision is always yours. There's no hidden AI subscription: pick the mode you want, or leave AI off entirely.
You can get the second opinion from:
Run the AI on your own machine (free, nothing leaves your device)
brew install ollama).qwen2.5 is recommended for claim checking: ollama pull qwen2.5
(Pick a smaller tag if your machine is tight on memory, e.g. ollama pull qwen2.5:3b.)
To update later, re-pull the same name (ollama pull qwen2.5).
CiteVahti is local-first. Full policy: [https://vahtian.com/citevahti/privacy](https://vahtian.com/citevahti/privacy) (source: [docs/PRIVACY.md](https://github.com/heidihelena/citevahti/blob/main/docs/PRIVACY
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요