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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 6:16:05 PM

Marey

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).
screen-capturevisual-debuggingdeveloper-toolsmcp

Captures screen motion as timestamped contact sheets and full-resolution frames for AI agents.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "marey": {
      "command": "npx",
      "args": [
        "-y",
        "@anilyesilkaya/marey"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (10) Directory Badge Claim listing Alternatives๐Ÿ’ป More in Developer Tools

Overview

The Marey MCP server captures screen activity and presents motion as timestamped contact sheets rather than video. It supports fixed-duration and user-controlled recordings, single screenshots, window discovery, time-range frame extraction, and full-resolution frame retrieval. Reach for it when a UI bug, animation, drag interaction, or state transition cannot be diagnosed from one screenshot. Install it with npx through an MCP client; the README states that no runtime dependencies or repository clone are required.

Use cases

โ€ขDiagnose visual bugs across a UI interaction
โ€ขInspect menu, animation, and drag transitions
โ€ขRecord a window while reproducing a defect
โ€ขRetrieve full-resolution frames for detailed analysis

Key features

โ€ขTimestamped contact sheets
โ€ขFixed-duration and open-ended recording
โ€ขFull-resolution frame retrieval
โ€ขWindow discovery and targeted capture
โ€ขRolling replay around user markers
โ€ขTime-range frame sheets with optional crop

Capabilities & Tool Schemas (10) ~156 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Marey.

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

How Marey works

What the Marey MCP server does

The Marey MCP server gives an AI agent a way to inspect changes on a screen over time. Instead of returning only a current screenshot or asking the agent to interpret a video, it captures a sequence of frames and composes them into a timestamped contact sheet. The returned image lets the agent compare states such as before an interaction, during a transition, and after a layout change.

The server is suited to visual debugging. Examples supported by the project include controls that jump during dragging, menus that open and close unexpectedly, canvases that update in the wrong order, and animations that stutter. Individual frames remain available at their original resolution when the contact sheet is not detailed enough.

How it works

An MCP client requests a capture or recording. Marey samples the selected screen area at a target frame rate, numbers and timestamps the frames, builds a contact sheet, and returns that image as MCP image content. The response also includes capture metadata and paths to the saved full-resolution frames.

Fixed-duration work uses record, while interactions whose timing is controlled by a person can use start_recording followed by stop_recording. The observe workflow records until the user finishes through a local control page. replay maintains a rolling buffer and produces clips around user markers. Only one recording can be active at a time, and an unattended open-ended recording is subject to a safety cap.

Setup and configuration

The README shows a direct installation command:

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

Marey is distributed for execution through npx, with no runtime dependencies and no repository clone required according to the README. Capture settings can select the primary display, a virtual display, or a window. Window capture can use an exact native window ID from list_windows or a visible title substring; a relative rectangle can further limit the source area.

Recordings accept a target frame rate, an optional start delay, and presentation settings. The detail choices are overview, high, and max; callers can instead set contact-sheet columns and thumbnail width directly. Capturing a smaller window can preserve more readable detail than shrinking an entire desktop into a sheet.

Tools and capabilities

The Marey MCP server exposes ten tools:

  • record captures for a specified duration and returns a timestamped contact sheet.
  • start_recording and stop_recording bracket a recording controlled by the user.
  • capture takes one screenshot using the same region-selection behavior.
  • get_frame returns one saved frame at full resolution.
  • get_frames creates a contact sheet for a time range and can apply a crop.
  • list_windows reports window IDs, titles, bounds, and hidden state.
  • observe records through the local control-page workflow.
  • replay returns clips around markers from a rolling buffer.
  • status reports the current recording state.

Raw frames are stored locally under capture directories, and recording responses identify the frame paths. A client without filesystem access can still request a selected frame through get_frame, because the frame is returned over MCP.

Limitations and notes

A contact sheet divides its available image area among its columns, so adding more thumbnail width alone does not guarantee readable text. The README recommends fewer columns, a narrower capture region, or opening an original frame when fine detail matters. The achieved frame rate and any gaps are reported rather than assumed to match the requested rate.

The server captures screen content, so it is intended for visual interaction analysis rather than DOM or application-state inspection. The README's browser demonstration requires Chrome, Chromium, or Edge and allows CHROME_BIN to specify the browser path; that requirement applies to the demonstration workflow described there.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
2d ago
Most recent push to the default branch.
Tools exposed
10
Callable tools this server registers over MCP.

Reviews

No reviews yet โ€” be the first to share how this listing worked for you.

Frequently Asked Questions about Marey

Marey is an MCP server that connects AI agents to screen capture workflows through timestamped contact sheets and full-resolution frames. Its main tools record fixed or open-ended interactions, capture screenshots, list windows, inspect recording status, extract time ranges, observe user-controlled sessions, and replay clips around markers.

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Technical Specs & Signals

Category๐Ÿ’ปDeveloper Tools
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit2d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 11, 2026
52Quality signal: Good ยท 52/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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