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MarkLayer

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Work visual annotations left on a live webpage: watch, acknowledge, resolve, reply.

Quick Install

Automated & IDE Setup

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

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for MarkLayer, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

MarkLayer logo

MarkLayer

Website feedback your AI agent can act on.

Draw, highlight, and comment on any live webpage, then share one link. A human reviews it in real time, or an AI agent connects over MCP and works it like a to-do list: acknowledge, fix, resolve, reply.

Try MarkLayer Β· Add to Chrome Β· Connect an agent Β· Build from source

Apache-2.0 license No account required marklayer-mcp on npm GitHub stars

A MarkLayer review board open on Wikipedia, showing highlights, threaded comments, and live cursors

One URL. A shared board. A faster decision.

MarkLayer turns any webpage into a collaborative review surface. Instead of passing screenshots back and forth, send a link. Teammates or clients can open the original page in their own browser, leave feedback where it belongs, and see changes land live. So can an AI agent: each comment arrives with the exact element it refers to already attached.

  • For AI-assisted work: connect marklayer-mcp and hand an agent a live queue of annotations to acknowledge, fix, and resolve. Or inspect an element yourself for a stable selector and an AI-ready markdown snapshot.
  • For client feedback: let clients point to exactly what they mean, without an account or extension.
  • For design review: sketch ideas, highlight details, and keep the conversation attached to the page.
  • For QA: pin reproducible issues to the actual UI, then share a clean link with the team.

How it works

  1. Open a page: paste any public URL at marklayer.app, or use the Chrome extension on the page you are already viewing β€” including a page on your own localhost dev server, which never has to be reachable from the internet.
  2. Make the feedback visible: draw, highlight text, measure space, pin a threaded comment, or inspect an element.
  3. Share one link: collaborators join the same board and see cursors, marks, replies, and calls in real time. Point an AI agent at it instead, and marklayer-mcp turns the thread into a work queue.

No sign-up. No trial clock. No client install.

What you can do

Send an agent to work the pageConnect marklayer-mcp, a standard MCP server, so an AI agent can watch annotations and acknowledge, fix, and resolve them live.
Annotate freelyPen, highlighter, eraser, shapes, arrows, text, and text-selection highlights.
Keep feedback in contextPin threaded comments to the page, reply inline, and track status.
Review liveReal-time cursors, drawings, and comments via WebSocket, plus peer-to-peer voice and video chat.
Hand off agent-ready contextInspect an element for a stable selector, computed styles, parent layout, viewport details, and framework component info, packaged as markdown built for a coding agent's prompt.
Measure the UICheck element dimensions and edge-to-edge gaps between two elements.
Share or exportCreate shareable links with preview cards, or export annotations to PNG.
Make it yoursReorder toolbar tools; drafts persist locally and restore when you return.

Built for AI agents

Every annotation is part of a structured queue: an agent can read it, act on it, and report back, the same way a human would.

Connect over MCP. marklayer-mcp is a standard stdio MCP server: no Claude-specific wiring, works with Claude Code, Cursor, Windsurf, VS Code, Codex CLI, or any MCP client.

Terminal
claude mcp add marklayer -- npx -y marklayer-mcp

Then just ask: "Watch my MarkLayer annotations. For each one, acknowledge it, make the fix, then resolve it with a summary." The agent calls marklayer_watch_annotations in a loop, and the human watches every status change land live. The full toolset (connect_room, list_annotations, watch_annotations, acknowledge, resolve, dismiss, reply, create_annotation, suggest_edit) is documented in apps/mcp.

Every mark carries the context an agent needs. Inspecting an element captures its CSS selector, computed styles, parent layout, and framework component info as a markdown snapshot, so a comment arrives with the exact node attached instead of a vague description.

No install, no server. On a browser agent with WebMCP support, the same list, acknowledge, resolve, and reply actions are exposed straight from the page via document.modelContext. Nothing to configure.

Agents can open their own boards, too. The share id is the access token, so minting a room is one unauthenticated POST, handy for seeding a review per URL ahead of time:

Terminal
curl -X POST https://marklayer.app/api/$ID \
  -H 'Content-Type: application/json' \
  -d '{"ops":[],"url":"https://example.com","width":1440}'

Discoverable machine-first. /llms.txt, /llms-full.txt, /.well-known/api-catalog, and a full OpenAPI spec describe the whole surface for an agent that's never seen MarkLayer before.

Built to respect the reviewer's time and privacy

  • No accounts or tracking: start reviewing immediately.
  • Links expire thoughtfully: shared boards expire 90 days after their last view.
  • Open source and self-hostable: MarkLayer is released under Apache-2.0, so your workflow is not tied to a pricing change.

Want the non-technical version? Read How MarkLayer works.

Self-hosting & development

bash
git clone https://github.com/thevrus/MarkLayer.git
cd MarkLayer
bun install
bun run dev

For the Chrome extension in development:

  1. Build or run the extension app.
  2. Open chrome://extensions/ and turn on Developer mode.
  3. Choose Load unpacked and select apps/extension/.output/chrome-mv3-dev.

Repository layout

Code
β”œβ”€β”€ apps/extension/         Chrome extension (WXT + Preact)
β”œβ”€β”€ apps/worker/            Cloudflare Worker, API, real-time rooms, proxy, OG generator
β”œβ”€β”€ apps/site/              Static marketing site (Astro)
β”œβ”€β”€ apps/mcp/               MCP server for AI agents (published as marklayer-mcp)
β”œβ”€β”€ packages/types/         Shared TypeScript types
└── packages/agent-tools/   Agent tool contract shared by the MCP server

Stack

AreaTechnologies
FrontendPreact, Signals, Tailwind CSS, Vite
ExtensionWXT, Chrome APIs
BackendCloudflare Workers, Hono, Durable Objects
StorageD1 (SQLite), R2
Real-timeWebSockets, WebRTC
Agent integrationMCP (stdio server), WebMCP, OpenAPI

Scripts

CommandWhat it does
bun run devRun the workspace in development mode
bun run buildBuild all apps
bun run checkType-check the workspace
bun run lintLint and format-check with Biome
bun run lint:fixApply lint and formatting fixes
cd apps/worker && bun run deployDeploy the Worker to Cloudflare
cd apps/mcp && bun run buildBuild the MCP server (marklayer-mcp) to dist/cli.js
cd apps/site && bun run indexnow:submitPing IndexNow (Bing and friends) after a deploy that changed pages

Contributing

Found a bug or have an idea? Open an issue. Contributions are welcome.

License

Apache License 2.0 Β© Dean Rusin


Try MarkLayer Β· Connect an agent Β· Add to Chrome Β· Report a bug Β· Request a feature

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

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Reviews

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

Frequently Asked Questions about MarkLayer

We don't have a confirmed install command for MarkLayer yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/thevrus/MarkLayer) for the current steps.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

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

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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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