Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Give AI agents eyes for motion: see what changed on screen, not just how it looks.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"marey": {
"command": "npx",
"args": [
"-y",
"@anilyesilkaya/marey"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add marey -- npx -y @anilyesilkaya/mareyIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"marey": {
"command": "npx",
"args": [
"-y",
"@anilyesilkaya/marey"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"marey": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@anilyesilkaya/marey"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto anilyesilkaya bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.0) kam vor 37 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, ProAgentStore
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
MCP-first control plane for ProAgentStore agents and private instances.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
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.
AI coding agents are good at understanding screenshots, but motion is still awkward. A bug such as:
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.
The idea is deliberately simple:
motion becomes one image containing time.
Marey exposes ten MCP tools:
| Tool | What it does |
|---|---|
record | Records the screen for a fixed duration and returns a timestamped contact sheet |
start_recording | Begins an open-ended recording the user controls |
stop_recording | Stops the open-ended recording and returns the contact sheet |
capture | Captures a single screenshot |
get_frame | Returns one frame from a recording at full resolution |
list_windows | Lists window IDs, titles, bounds, and hidden state |
observe | Records until the user finishes through the local control page |
replay | Keeps a rolling buffer and returns clips around user markers |
status | Reports recording state |
get_frames | Returns a contact sheet for a time range, with optional crop |
record| Parameter | Default | Description |
|---|---|---|
seconds | 5 | Recording duration |
fps | 15 | Target frames per second; achieved rate and gaps are reported |
region | primary | primary, 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 |
delay | 0 | Delay before capture begins |
detail | overview | Legibility preset: overview, high, or max (see below) |
cols | 4 | Number of thumbnails per contact-sheet row (overrides detail) |
thumbWidth | 480 | Thumbnail width in pixels (overrides detail) |
The result contains:
detail presetA 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:
detail | Layout | Use when |
|---|---|---|
overview (default) | 4 cols · 480px | You want many frames at a glance |
high | 2 cols · 760px | UI text / fine detail must be readable |
max | 1 col · 1280px | You need the closest thing to the raw frame |
Two more levers when detail still falls short:
captures/ /, and the record response lists each one's path. Reading a single raw frame is better than re-recording.start_recording / stop_recordingrecord 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:
start_recording on your cue (same parameters as record except seconds: fps, region, title/windowId, rect, delay, detail, cols, thumbWidth).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.
captureCaptures one frame immediately using the same region-selection semantics as record.
get_frameReturns 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_windowsReturns visible window titles, and geometry where available, so an agent can choose a target for window capture.
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/.
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
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
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).
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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