프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Clipwright

제작자: seocombat버전 0.39.0i★ –i컴퓨터 또는 클라우드
레지스트리 이름io.clipwright/mcp

설치

개요

제작자가 쓴 설명(영어 원문)

Talking-actor and faceless short videos from your AI agent, with a free quote before each render

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 컴퓨터 또는 클라우드
  • 전송 방식: stdio, Streamable HTTP
  • 카테고리: 기타
  • 입력해야 할 값: CLIPWRIGHT_API_KEY

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 3개 중 3개 통과
  • 제작자의 서버에서 실행돼요. 내가 요청한 내용은 제작자의 서버를 거쳐요.
  • 직접 입력할 값: CLIPWRIGHT_API_KEY, CLIPWRIGHT_CLIENT_ID, CLIPWRIGHT_API_URL

비밀로 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.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

  1. Settings → Connectors 열기
  2. Add custom connector 누르기
  3. 아래 주소를 붙여 넣고 Add 누르기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Add2https://…3
https://mcp.clipwright.io/mcp

또는 내 컴퓨터에서 실행하기

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "clipwright": {
      "command": "npx",
      "args": [
        "-y",
        "@clipwright/mcp-server"
      ],
      "env": {
        "CLIPWRIGHT_API_KEY": "your-value",
        "CLIPWRIGHT_CLIENT_ID": "your-value",
        "CLIPWRIGHT_API_URL": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http clipwright https://mcp.clipwright.io/mcp

또는 내 컴퓨터에서 실행하기

claude mcp add clipwright --env CLIPWRIGHT_API_KEY=your-value --env CLIPWRIGHT_CLIENT_ID=your-value --env CLIPWRIGHT_API_URL=your-value -- npx -y @clipwright/mcp-server

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "clipwright": {
      "url": "https://mcp.clipwright.io/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "clipwright": {
      "command": "npx",
      "args": [
        "-y",
        "@clipwright/mcp-server"
      ],
      "env": {
        "CLIPWRIGHT_API_KEY": "your-value",
        "CLIPWRIGHT_CLIENT_ID": "your-value",
        "CLIPWRIGHT_API_URL": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "clipwright": {
      "type": "http",
      "url": "https://mcp.clipwright.io/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "clipwright": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@clipwright/mcp-server"
      ],
      "env": {
        "CLIPWRIGHT_API_KEY": "your-value",
        "CLIPWRIGHT_CLIENT_ID": "your-value",
        "CLIPWRIGHT_API_URL": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

  1. 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
  2. Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
  3. 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Create2https://…3
https://mcp.clipwright.io/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • CLIPWRIGHT_API_KEY 비밀 필수 env
    Your Clipwright API key (cw_...), issued at https://app.clipwright.io/api-keys
  • CLIPWRIGHT_CLIENT_ID env
    Identifies this installation in the idempotency key. Set it where the home directory is shared, cloned or read-only
  • CLIPWRIGHT_API_URL env
    API base URL; defaults to the hosted API. Must be https

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

서버가 도구 목록을 보여 주기 전에 로그인을 요구해요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 도메인 clipwright.io 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • ✓ 통과

    엔드포인트 응답

    87ms 만에 응답(HTTP 401)

  • ✓ 통과

    OAuth로 로그인

    OAuth 로그인을 지원한다고 밝혀서, AI 앱이 로그인 화면으로 안내해 줘요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32433개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32433개 중 91%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32433개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Clipwright, 안전한가요?

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.

어떤 키나 코드가 필요한가요?

입력해야 할 값: CLIPWRIGHT_API_KEY

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.39.0)은 3일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

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.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211어제 업데이트
설치

Symantec Cloud DLP AIops

제작자: AIops-tools

Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.

내 컴퓨터에서 실행오늘 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

@clipwright/mcp-server

Your coding agent writes the script; Clipwright renders a short vertical video of an actor speaking it, 1080×1920 by default. It also makes faceless videos of a length you pick, 30 to 90 seconds, from a script or a short brief: narration over an opening animated clip and image scenes, with no on-camera presenter. The agent asks for a free quote before it spends anything, and whatever the API cannot honor comes back in warnings[] instead of being dropped silently.

The agent gets a run_id at once and polls until the video URL is ready. Clipwright returns the file; it does not publish anywhere. Quotes, voices, actors and the account balance are free. Renders spend credits: an account opened by signing up starts with 420 trial credits, enough for one 90-second faceless video. Buy more at clipwright.io/pricing.

Install

There are two ways to connect: the hosted server at https://mcp.clipwright.io/mcp, or this package run locally over stdio. Both serve the same tools.

Hosted server, no key

Add the URL to your client. On first use the client opens a browser, you sign in to Clipwright and approve the app. Claude Code and the device-code flow below were verified live on 2026-10-18; the other commands come from each client's own documentation and have not been tried with Clipwright yet.

  • Claude Code (verified live): claude mcp add --transport http clipwright https://mcp.clipwright.io/mcp, then run /mcp in a session and sign in.
  • Claude.ai and Claude Desktop: Customize → Connectors → Add custom connector, then paste the URL.
  • ChatGPT: add the URL as the remote MCP server of a plugin, as OpenAI's guide "Connect and test your plugin" describes; ChatGPT signs in with OAuth.
  • Cursor: in ~/.cursor/mcp.json, {"mcpServers": {"clipwright": {"url": "https://mcp.clipwright.io/mcp"}}}.
  • VS Code: in .mcp.json at the workspace root, {"mcpServers": {"clipwright": {"type": "http", "url": "https://mcp.clipwright.io/mcp"}}}.
  • Gemini CLI: gemini mcp add --transport http clipwright https://mcp.clipwright.io/mcp, then /mcp auth clipwright.
  • Codex: codex mcp add clipwright --url https://mcp.clipwright.io/mcp, then codex mcp login clipwright.

The approval page lists the permissions the app asks for. There are two:

  • mcp:read — the tools marked read-only: account, runs, shots, voices, actors, workflows and quotes.
  • mcp:write — every other tool. Some start paid runs and spend credits; the rest change the account (actors, uploads, workflow plans).

A connection without mcp:write gets 403 insufficient_scope from those tools, and nothing is charged. Only an admitted account can approve.

To disconnect an app, open app.clipwright.io/api-keys, find it under Connected apps and revoke it. Its next request gets 401. A connection lasts 90 days from approval; after that the app asks you to sign in again.

On the hosted server upload_image cannot read a file on your machine. Pass a public https URL as upload_image({url}) and the server downloads it, or call create_upload and PUT the file to the returned put_url with curl. Either way you get an upload_id for first_frame, last_frame and references.

An agent with no browser signs in with a device code and the first-party client clipwright-agent (verified live 2026-10-18):

curl -s https://mcp.clipwright.io/device/auth -d client_id=clipwright-agent \

--data-urlencode "scope=mcp:read mcp:write offline_access" \ --data-urlencode "resource=https://mcp.clipwright.io/mcp"

Open verification_uri (https://mcp.clipwright.io/device) on any device, enter user_code, sign in and approve; the approval page repeats the code. Meanwhile poll POST https://mcp.clipwright.io/token with grant_type=urn:ietf:params:oauth:grant-type:device_code, the device_code and client_id=clipwright-agent, no more often than every 5 seconds: a faster poll gets slow_down. Send the access_token as Authorization: Bearer to /mcp; it lasts an hour. Renew it with grant_type=refresh_token and keep the newest refresh token each time. The device flow is open to this client only.

Hosted server with a cw_* key

For CI and scripts, send a key instead of signing in. A key holds both permissions.

claude mcp add --transport http clipwright https://mcp.clipwright.io/mcp --header "Authorization: Bearer cw_..."
n8n

n8n's built-in MCP Client node calls one tool per node:

  • Server Transport: HTTP Streamable; MCP Endpoint URL: https://mcp.clipwright.io/mcp.
  • Authentication: Bearer Auth, with a credential whose token is your cw_... key.
  • Tool: pick from the list, for example quote_ugc; Input Mode: JSON.

Verified live on 2026-10-20 with self-hosted n8n 2.43.8: get_account, quote_ugc and get_run returned through the node. A workflow to import, n8n/clipwright-ugc.json in seocombat/clipwright-mcp, quotes a script, stops when the quote is above max_credits, starts make_ugc and polls get_run every 15 seconds. The whole workflow ran on n8n Cloud on 2026-10-20 and returned a 1080×1920 MP4 in about three minutes. n8n's OAuth credential has not been run against Clipwright yet.

Local server over stdio
claude mcp add clipwright -e CLIPWRIGHT_API_KEY=cw_... -- npx -y -p @clipwright/mcp-server clipwright-mcp

Put your own key in place of cw_.... The command is one line and gives the shell nothing to expand, so bash, zsh and PowerShell run it alike. It needs Node.js 20 or newer.

Any MCP host works — the local server speaks JSON-RPC over stdio. Issue keys at app.clipwright.io/api-keys.

Environment

These variables configure the local server.

VariableRequiredMeaning
CLIPWRIGHT_API_KEYyesYour cw_* token. The process exits immediately without it.
CLIPWRIGHT_CLIENT_IDrecommendedIdentifies this installation and enters the idempotency key, so two installations never collapse into one run. Left unset, the server keeps one in ~/.clipwright/client-id, which suits a single laptop. Set it yourself where a home directory is shared, cloned or read-only — containers, CI, copied images — as SKILL.md §2 explains.
CLIPWRIGHT_API_URLnoDefaults to the hosted API.

Recipes

Each recipe is a prompt we gave an agent with this server connected, the call the agent sent, and what the video cost. The videos play at clipwright.io/mcp.

1. A creator reel with on-screen graphics

One presenter on camera, with graphics over her that react to what she says: the format of talking-head reels that sell a product. One prompt, no editor.

The prompt, given verbatim, with our actor id, screenshot link and site named alongside it:

Make a 30-second vertical reel for my AI receptionist with my presenter actor and the voice Hope. Script: "Every missed call is a lost deal. Your receptionist sleeps, takes breaks, and sometimes gets annoyed. This one doesn't. It answers calls all day, works around the clock, and never gets annoyed. Here's a real one: a customer calls at two in the morning to book a cleaning, and it handles everything, the time, the price, the confirmation text. Small businesses miss a third of their calls. Not anymore. Set it up in ten minutes and stop losing deals while you sleep."

While she lists what it does, show a checklist with three switches ("answers calls" and "works 24/7" off, "gets annoyed" on) and have a cursor flip each one as she says it. When she gets to the 2 a.m. customer, show an incoming call from +1 (305) 555-0147 on the right and answer it on "handles". Put my dashboard screenshot in the top right corner while she says "Small businesses miss a third of their calls." End on a card with my site and "create your assistant". Caption only the key lines, in the highlighter style, and zoom in a little on "Not anymore." Quote it before you render.

What the agent sent: one make_ugc quote with templates (checklist, phone_call, end_card), one overlays picture, caption_mode: "highlights", caption_style: "highlighter" and a punch_in on one emphasis line. Click, switch and ring sounds come with the templates by default. We checked the prompt with a fresh agent on this server on 2026-10-24; the video was rendered from the same call.

The quote named the price before anything was spent; list_prices names every rate. Watch it.

Tools

  • list_workflows — read workflow methods and current availability. Free.
  • get_workflow — read one method's required inputs, script rules, evidence and limitations. Free.
  • prepare_workflow_plan — create with a complete document, or save with both plan_id and base_version. Free; starts no run.
  • plan_reference_remake — the server compiles a reference ad's profile and your exact script into a new plan; its warnings name what the plan does not reproduce. Free; starts no run and generates nothing.
  • get_workflow_plan — read the current owned plan, revision and readiness. Free.
  • approve_workflow_plan — explicitly approve a chosen revision and content digest. Free; starts no run.
  • quote_workflow_plan — quote the approved revision without spending credits.
  • run_workflow_plan — start a paid workflow using its exact quote fields and an explicit idempotency key. Returns its receipt and run id immediately; poll get_run. Recover an uncertain purchase with the original request and key.
  • list_voices — voices for voice: the presets, the thirty voices of the speech model gemini-3.8-flash-tts and the catalog for make_ugc, with filters by language, gender, age, use case and model, and a short audio sample where the voice has one. The seventeen narration voices of make_faceless are listed with skill: "make_faceless". Free, spends no credits.
  • list_template_sounds — the sounds make_ugc templates play, by beat: where each beat plays, its default and every name template_sounds takes. Free.
  • list_actors — ready-made faces with stable ids and verified formats. Free.
  • quote_ugc — estimated duration and price, plus a warning when make_ugc with the same input would be refused for money or access. Free.
  • get_account — balance, debt and holds of the account. Free.
  • list_prices — what every tool costs in credits: a number per unit, or a formula where the price depends on the input; free tools are listed at 0. Free.
  • send_feedback — tell Clipwright what is missing, confusing, wrong or slow, optionally about a run; we read every one. Free.
  • make_ugc — renders a clip; this is the call that costs money. Returns a run_id immediately instead of blocking, because a render takes minutes.
  • get_run — status of a run. Free; poll it every few seconds.
  • get_run_shots — the shots of a finished video: the span, kind, description and preview link of each, with the narration words and their timing. Free and read-only. A run with no shots to show answers with the reason instead.
  • quote_revision — price of a revision of a faceless video: what it would change and what it costs. Free.
  • revise_run — starts a revision: a new run that renders the video again with the shots you change; this costs money. Pass changes (a shot and what to generate for it) or the whole edited document. A revision that delivers is charged its quoted total; one that fails is charged nothing. An identical request returns the same run; attempt starts a second one on purpose. Returns a run_id immediately; poll get_run until succeeded.
  • quote_candidate — price of a shot candidate of a faceless video: one pict

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