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

Marey

제작자: anilyesilkaya버전 0.1.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.anilyesilkaya/marey

설치

개요

제작자가 쓴 설명(영어 원문)

Give AI agents eyes for motion: see what changed on screen, not just how it looks.

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: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 기타

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • npmNode.js 설치(npx 명령어용)

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": {
    "marey": {
      "command": "npx",
      "args": [
        "-y",
        "@anilyesilkaya/marey"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add marey -- npx -y @anilyesilkaya/marey

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "marey": {
      "command": "npx",
      "args": [
        "-y",
        "@anilyesilkaya/marey"
      ]
    }
  }
}

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": {
    "marey": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@anilyesilkaya/marey"
      ]
    }
  }
}

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.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 anilyesilkaya 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 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

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 18354개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 18354개 중 56%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 18354개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

Marey, 안전한가요?

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.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0)은 37일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Qemu MCP

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★ 211그저께 업데이트
설치

Qemu MCP

제작자: 0xmortuex

Boot and drive QEMU VMs from an AI agent: keys, screenshots, serial. No guest agent.

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.

Marey

Give AI agents eyes for motion.

A screenshot tells an agent what the screen *looks like*. Marey tells it what *changed*.

Marey is a Model Context Protocol server that turns a short screen interaction into a timestamped, agent-readable contact sheet — a grid of still frames an agent can inspect as a temporal sequence, with any frame retrievable at full resolution.

claude mcp add marey -- npx -y @anilyesilkaya/marey

That's the whole install. Zero runtime dependencies, nothing to clone.


See it work

You: "When I click More, the project menu opens but most of its text gets cut off. Can you find out why?"

Agent: "Let me record the interaction with Marey." *(records while you reproduce the click)*

The bug: clicking More opens a readable menu, but a layout update makes it so narrow that most of each action label is cut off.

The contact sheet preserves the failure in three frames: before the click → readable menu → clipped text. The red outline highlights the broken menu width.

An illustrative agent response:

Agent: "At 0.36 s, I can read all three actions. By 0.48 s, the menu has shrunk to roughly the More button's width and the labels are clipped. It stays open throughout. I'd inspect the post-open sizing code: it may be using the trigger's width instead of the menu's content width."

The sequence shows the menu opens at a readable width, then narrows while it remains open. This directs the agent to the post-open layout measurement; source inspection confirms the cause.

Staged demonstration: a browser fixture rendered at fixed timestamps and composed with Marey's own contact-sheet code. The headings, outline, and callout are explanatory annotations added for the README; the full contact sheet contains the raw frames. The fixture reproduces a sizing pass that incorrectly uses the trigger's width for the menu. Regenerate both images with node demo/make-contactsheet.mjs. Requires Chrome, Chromium, or Edge; set CHROME_BIN if it isn't found automatically.

For containers without browser sandbox support, use node demo/make-contactsheet.mjs --no-sandbox.


Why Marey?

AI coding agents are good at understanding screenshots, but motion is still awkward. A bug such as:

  • a control point jumping while it is dragged,
  • a menu flashing and immediately closing,
  • a canvas updating in the wrong order,
  • an animation stuttering between states,

cannot be understood from a single screenshot. Marey bridges that gap: because it speaks MCP, the agent requests the recording itself and receives the resulting image directly in context.

No GIF inspection. No manually extracting frames. No dragging a dozen screenshots into chat.

It is named after Étienne-Jules Marey, a pioneer of chronophotography — the study of motion through sequences of images. Marey applies the same idea to AI agents: instead of handing a model a video it cannot reliably inspect frame by frame, it converts motion into a visual sequence the model can reason about.


How it works

  1. An MCP client asks Marey to record the screen.
  2. Marey captures frames at a chosen frame rate.
  3. Each frame is numbered and timestamped.
  4. Marey composes the frames into a contact sheet.
  5. The contact sheet is returned to the agent as MCP image content.
  6. Raw frames remain available on disk for closer inspection or re-stitching.

The idea is deliberately simple:

motion becomes one image containing time.


Tools

Marey exposes ten MCP tools:

ToolWhat it does
recordRecords the screen for a fixed duration and returns a timestamped contact sheet
start_recordingBegins an open-ended recording the user controls
stop_recordingStops the open-ended recording and returns the contact sheet
captureCaptures a single screenshot
get_frameReturns one frame from a recording at full resolution
list_windowsLists window IDs, titles, bounds, and hidden state
observeRecords until the user finishes through the local control page
replayKeeps a rolling buffer and returns clips around user markers
statusReports recording state
get_framesReturns a contact sheet for a time range, with optional crop
record
ParameterDefaultDescription
seconds5Recording duration
fps15Target frames per second; achieved rate and gaps are reported
regionprimaryprimary, virtual, or window
title—Unambiguous visible window-title substring when region is window
windowId—Exact native window ID from list_windows; takes precedence over title
rect—{x,y,w,h} in target-relative pixels; restricts the captured source during recording
delay0Delay before capture begins
detailoverviewLegibility preset: overview, high, or max (see below)
cols4Number of thumbnails per contact-sheet row (overrides detail)
thumbWidth480Thumbnail width in pixels (overrides detail)

The result contains:

  • the contact sheet as MCP image content,
  • a short text summary with capture metadata and the full-resolution path of every frame, so an agent can open the exact frame it needs,
  • raw frames saved locally for later inspection.
Resolution and the detail preset

A single returned image has a fixed resolution budget, and a contact sheet splits that budget across its columns. So legibility comes from fewer, wider cells — not from thumbWidth alone (past a point, a large sheet is just downscaled again by the client). The detail preset picks a sensible columns/width pair:

detailLayoutUse when
overview (default)4 cols · 480pxYou want many frames at a glance
high2 cols · 760pxUI text / fine detail must be readable
max1 col · 1280pxYou need the closest thing to the raw frame

Two more levers when detail still falls short:

  • Capture a `window` instead of the full screen. A 2560px desktop shrunk into a 480px thumbnail loses ~5× of its detail; an 800px window barely shrinks at all.
  • Open the raw frame. Every frame is saved at full resolution under captures/ /, and the record response lists each one's path. Reading a single raw frame is better than re-recording.
start_recording / stop_recording

record is fixed-duration — the agent decides how long. When you control the timing (you will drag something, open a menu, trigger an animation and the duration is unpredictable), use the open-ended pair instead:

  1. The agent calls start_recording on your cue (same parameters as record except seconds: fps, region, title/windowId, rect, delay, detail, cols, thumbWidth).
  2. You perform the interaction.
  3. The agent calls stop_recording, which composes and returns the contact sheet — identical output to record.

Only one recording may be active at a time. Frames are written to disk as they are captured, and a safety cap stops a forgotten session before it grows without bound.

capture

Captures one frame immediately using the same region-selection semantics as record.

get_frame

Returns a single frame from a prior recording at full resolution, as image content over MCP. The contact sheet is a downscaled overview; when it is too small to read fine detail, call get_frame with the recording directory and the frame number (both listed in the record / stop_recording response), or a direct frame path. Because the frame is returned through the protocol, this works even for clients with no filesystem access.

list_windows

Returns visible window titles, and geometry where available, so an agent can choose a target for window capture.


Example

Once Marey is connected to an MCP client, interaction can be as simple as:

Use Marey to record 6 seconds of my editor window at 4 fps with high detail while I drag an element, then tell me what changes between frames.

The agent receives the complete sequence as a single image and can reason about the transition rather than only the initial state. If any frame needs a closer look, the full-resolution originals are listed in the response and saved under captures/.


Command-line use

Marey runs standalone from the repo — the easiest way to try the whole workflow, including the interactive observe and replay modes, without wiring up an MCP client. Clone it first (see From source); every command is node src/cli.mjs .

Diagnose capture — confirm the backend actually works on this machine before anything else:

node src/cli.mjs doctor                  # probe the backend with a REAL one-frame capture (pass/fail)

node src/cli.mjs backend # just name the detected backend node src/cli.mjs windows # list targetable windows (hidden ones are flagged)

Record a fixed clip — you choose the duration up front:

node src/cli.mjs capture --region primary                                   # one frame

node src/cli.mjs record --seconds 4 --fps 4 --detail high # 4s of the screen node src/cli.mjs record --region window --title "Chrome" --fps 4 --detail max # just one window

Capture an unpredictable moment — when *you* control the timing:

# observe: a browser control page opens; reproduce the issue, then click Finish

(or run marey finish from any terminal) and the same call returns the sheet.

node src/cli.mjs observe --fps 3 --detail high node src/cli.mjs finish # ...from a second terminal, to end it

replay: a rolling buffer always holds the last few seconds (a dashcam). Press

Mark the instant something glitches; each mark becomes its own clip.

node src/cli.mjs replay --window-seconds 10 --fps 4 node src/cli.mjs mark # ...from a second terminal, to pin the look-back window node src/cli.mjs finish # ...then end it — one contact sheet per mark

Inspect a frame — zoom into any frame at full resolution without re-recording:

node src/cli.mjs get-frame --dir captures/<timestamp> --index 7

node src/cli.mjs get-frame --dir captures/ --index 7 \ --normalized --crop-x 0.5 --crop-y 0 --crop-w 0.5 --crop-h 0.5 # top-right quadrant

Window capture grabs the window's own surface (via PrintWindow), so it works even when the target is behind other windows. A minimized or off-screen window has nothing to render, so Marey reports that rather than capturing junk — restore the window (node src/cli.mjs windows flags which are hidden).

Inspecting evidence quality and transitions

Recording results include requested and achieved FPS, mean spacing, maximum frame gap, completion reason, warnings, errors, and the resolved target ID and bounds. New MCP clients (protocol 2025-06-18 or later) also receive these as structuredContent; older clients receive the same quality information as text. Partial recordings remain inspectable and failed recordings return isError:true alongside any available images. stop_recording retrieves evidence even if the backend already stopped automatically.

A contact sheet selects neighborhoods around the strongest transitions: the immediate before, changed, and following frames. Larger budgets also retain th

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