Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Let AI agents record the Windows screen, watch it as frames, and edit it with ffmpeg
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.
SCREENCAST_HOME, SCREENCAST_ALLOWED_DIRS, FFMPEG_PATH, FFPROBE_PATH, SCREENCAST_WHISPER_MODEL, SCREENCAST_MAX_RECORDING_SEC, SCREENCAST_JOB_TIMEOUT_MS, SCREENCAST_RETENTION_DAYS, SCREENCAST_PS_TIMEOUT_MS, SCREENCAST_CONFIRM_CAPTURE, SCREENCAST_TOOLSETS필요한 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": {
"screencast": {
"command": "npx",
"args": [
"-y",
"@tmhs/screencast-mcp"
],
"env": {
"SCREENCAST_HOME": "your-value",
"SCREENCAST_ALLOWED_DIRS": "your-value",
"FFMPEG_PATH": "your-value",
"FFPROBE_PATH": "your-value",
"SCREENCAST_WHISPER_MODEL": "your-value",
"SCREENCAST_MAX_RECORDING_SEC": "your-value",
"SCREENCAST_JOB_TIMEOUT_MS": "your-value",
"SCREENCAST_RETENTION_DAYS": "your-value",
"SCREENCAST_PS_TIMEOUT_MS": "your-value",
"SCREENCAST_CONFIRM_CAPTURE": "your-value",
"SCREENCAST_TOOLSETS": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add screencast --env SCREENCAST_HOME=your-value --env SCREENCAST_ALLOWED_DIRS=your-value --env FFMPEG_PATH=your-value --env FFPROBE_PATH=your-value --env SCREENCAST_WHISPER_MODEL=your-value --env SCREENCAST_MAX_RECORDING_SEC=your-value --env SCREENCAST_JOB_TIMEOUT_MS=your-value --env SCREENCAST_RETENTION_DAYS=your-value --env SCREENCAST_PS_TIMEOUT_MS=your-value --env SCREENCAST_CONFIRM_CAPTURE=your-value --env SCREENCAST_TOOLSETS=your-value -- npx -y @tmhs/screencast-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"screencast": {
"command": "npx",
"args": [
"-y",
"@tmhs/screencast-mcp"
],
"env": {
"SCREENCAST_HOME": "your-value",
"SCREENCAST_ALLOWED_DIRS": "your-value",
"FFMPEG_PATH": "your-value",
"FFPROBE_PATH": "your-value",
"SCREENCAST_WHISPER_MODEL": "your-value",
"SCREENCAST_MAX_RECORDING_SEC": "your-value",
"SCREENCAST_JOB_TIMEOUT_MS": "your-value",
"SCREENCAST_RETENTION_DAYS": "your-value",
"SCREENCAST_PS_TIMEOUT_MS": "your-value",
"SCREENCAST_CONFIRM_CAPTURE": "your-value",
"SCREENCAST_TOOLSETS": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"screencast": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@tmhs/screencast-mcp"
],
"env": {
"SCREENCAST_HOME": "your-value",
"SCREENCAST_ALLOWED_DIRS": "your-value",
"FFMPEG_PATH": "your-value",
"FFPROBE_PATH": "your-value",
"SCREENCAST_WHISPER_MODEL": "your-value",
"SCREENCAST_MAX_RECORDING_SEC": "your-value",
"SCREENCAST_JOB_TIMEOUT_MS": "your-value",
"SCREENCAST_RETENTION_DAYS": "your-value",
"SCREENCAST_PS_TIMEOUT_MS": "your-value",
"SCREENCAST_CONFIRM_CAPTURE": "your-value",
"SCREENCAST_TOOLSETS": "your-value"
}
}
}
}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.
SCREENCAST_HOME envSCREENCAST_ALLOWED_DIRS envFFMPEG_PATH envFFPROBE_PATH envSCREENCAST_WHISPER_MODEL envSCREENCAST_MAX_RECORDING_SEC envSCREENCAST_JOB_TIMEOUT_MS envSCREENCAST_RETENTION_DAYS envSCREENCAST_PS_TIMEOUT_MS envSCREENCAST_CONFIRM_CAPTURE envSCREENCAST_TOOLSETS env이 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 7일 점검
레지스트리 이름이 GitHub 계정 TMHSDigital 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(0.48.0)은 6일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, TF Rooms
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ 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.
Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
An MCP server that lets an agent record the screen, _watch_ the footage, and make minimal ffmpeg edits — over stdio, on Windows.
Capture the desktop, a monitor, a window, or a region; sample a recording into frames the agent can actually look at; trim, crop, redact, annotate, zoom toward clicks, and export for GitHub or social. No cloud service, no telemetry: ffmpeg and ffprobe behind 58 typed tools.
For developers who want their coding agent to see and prove UI changes on Windows: bug repros, UI verification, and demo clips the agent records, checks, and edits itself. Capture is Windows-only; the watch and edit tools work on any OS with ffmpeg. Free for non-commercial use (CC BY-NC-ND 4.0); why not OBS, Playwright, or a screenshot MCP?
Made with the tool: start_recording with events: true , one click, then zoom { highlightClicks: true } and export_gif . How it was made · more workflows
Quick start · Tools · Configuration · More docs · Privacy
The fastest path: npx -y @tmhs/screencast-mcp setup checks FFmpeg 8, OCR, and speech, offers winget install Gyan.FFmpeg when FFmpeg is missing, and adds the server to Claude Desktop, Claude Code, Cursor, and VS Code (backing up each config). --dry-run shows the changes first; --test records a 3-second GIF to prove it works. Or set it up by hand:
You need Windows 10 or 11, Node.js 22+, and FFmpeg 8 or newer on PATH (winget install Gyan.FFmpeg, the full build). Older builds run most tools, but transcribe (the whisper filter) and backend: "wgc" (gfxcapture) need FFmpeg 8, and essentials or distro builds can lack them (Ubuntu LTS apt install ffmpeg gives 6.x). Capture is Windows-only; the watch, edit, and produce tools work anywhere ffmpeg runs. After connecting, ask the agent to run doctor: it reports the ffmpeg version, the filters and devices it has, OCR, and anything missing.
Add it to your client:
| Client | How |
|---|---|
| Claude Code | claude mcp add screencast -- cmd /c npx -y @tmhs/screencast-mcp, or the plugin (the server plus bug-repro, README-demo, and UI-verify skills): /plugin install screencast --marketplace TMHSDigital/screencast-mcp (older Claude Code: /plugin marketplace add TMHSDigital/screencast-mcp, then /plugin install screencast@screencast-mcp) |
| Claude Desktop | Download screencast-mcp.mcpb from the latest release and open it (one click) |
| Cursor, VS Code, others | The JSON config below, or step-by-step on Connect your client |
{ "mcpServers": { "screencast": { "command": "npx", "args": ["-y", "@tmhs/screencast-mcp"] } } }
Then ask your agent:
Record my VS Code window for five seconds while I reproduce the bug, then show me the frames where something changed.
More in the workflows: a bug-repro GIF for a PR, a README demo, a UI verification loop, a social clip, a cheap review of a long recording, zoom toward clicks, and the whole edit in one call.
The core is the watch loop: the agent records, samples the footage into frames it can see, and checks what actually happened on screen. Capture only ever happens on an explicit tool call, and output lands under SCREENCAST_HOME, never in your checkout.
| Instead of | The difference |
|---|---|
| OBS, ShareX, Game Bar | Built for a person at the controls. Here the agent starts and stops the recording, looks at the frames, and makes the edits through typed tools, with no GUI step. |
| Playwright or Puppeteer video | Browser pages only, and the video is a file the model never sees. Here: any window or monitor, frames returned to the model, plus wait_for_change, find_text, and screen_diff for checking what happened. |
| A screenshot-only MCP server | Single stills. Here: video over time, an input event log, scene-change sampling, redaction, and export, so the agent can show a sequence, not one moment. |
58 tools in 6 toolsets, generated from the server's own schemas by npm run docs (do not edit between the markers). Each name links to its reference page with every parameter, an example call, and what it returns; mcp-tools.json is the same list as JSON, and llms-full.txt all of it in one file.
Always loaded, whatever SCREENCAST_TOOLSETS selects.
| Tool | What it does |
|---|---|
get_media_info | Probe a media file with ffprobe and return duration, resolution, frame rate, codecs, container format, and size. |
doctor | Check the setup: ffmpeg/ffprobe (FFmpeg 8+?), optional filters, capture devices, Windows OCR, settings, and enabled toolsets; problems says what is missing and how to fix it. Call on first use or when a tool reports a missing feature. |
Record or screenshot the desktop, a monitor, a window, or a region. Every capture is an explicit tool call: nothing records on its own.
| Tool | What it does |
|---|---|
start_recording | Start a background screen recording. Returns a session id; finalize it with stop_recording. Never auto-starts. |
stop_recording | Stop a recording gracefully so the file is finalized; returns the path and duration. |
pause_recording | Pause a recording; until resume_recording nothing is captured, and the gap is left out of the file, events, and markers. |
resume_recording | Resume a paused recording (same target and settings). |
save_replay | Save the last N seconds of a replay buffer (start_recording replayBufferSec) to an mp4; the buffer keeps running. |
list_sessions | List all recording sessions (active and finished) with their status, target, output path, and whether the process is still alive. |
get_session | Inspect a single recording session by id, including live status and whether its output file exists on disk. |
read_events | Read the input events (clicks, scroll, cursor, shortcuts, typing bursts) of a recording made with events: true, in video seconds and pixels; e.g. types: ['down'], then sample_frames there. |
add_marker | Mark a labelled moment on a recording, live or at a second. Kept in the session and a sidecar; chapters and pipeline turn markers into chapters. |
screenshot | Capture one PNG of the screen, a monitor, a window, or a region, returned inline and by path. |
list_audio_devices | List DirectShow audio devices and flag a likely loopback (Stereo Mix or a virtual-audio driver), for start_recording's audio.device. |
list_video_devices | List DirectShow cameras for start_recording's webcam.device. |
list_targets | List the desktop, monitors, and visible windows (topmost first, with capturability per backend). Each entry has a target string to pass as-is to capture tools; use it instead of guessing a title. |
Turn footage into something a model can read: frames, contact sheets, diffs, OCR, and a searchable text timeline.
| Tool | What it does |
|---|---|
review_recording | Open a recording for a person to review: in MCP Apps clients an inline player to scrub, trim, and redact, then export; elsewhere just the video's details. |
player_frames | Preview frames for the review player: JPEGs on an even grid over the video plus frames at scene changes, with their real times. Used by the inline player; agents should use sample_frames or contact_sheet instead. *(app-only: called by the review player, not the agent)* |
sample_frames | Sample PNG frames from a video (by fps, timestamps, or scene changes) and return the first few inline so the model can see what happened. |
contact_sheet | Tile timestamped frames of a video into one image to see a whole recording at a glance (the cheapest first look). |
screen_diff | Compare two screenshots or frames: SSIM score, changed share, and changed boxes in b's pixels, to check a UI change happened only where expected. |
wait_for_change | Wait until part of the screen changes or settles, instead of guessing a sleep. Returns the elapsed time, changed regions (screenshot pixels; add origin for desktop), and the final state. |
| [find_text](https://tmhsdigital.github.io/screencast-mc
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요