Markloop is a review platform for agent-generated HTML documents, enabling human feedback via anchored comments and structured export back to AI agents.
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Get ListedMarkloop is a web application designed to close the feedback loop between AI coding agents and human reviewers. It accepts HTML documents produced by agents—such as specs, reports, and proposals—and provides a structured environment for reviewers to leave anchored comments and answer embedded questions. The feedback is then packaged into a machine-readable format that agents can consume directly via MCP or as plain files, eliminating manual copy-pasting.
Anchored Comments: Reviewers can pin comments to specific sections or sentences within the document. Comments remain attached to the exact version they were made on, preserving context across revisions.
Agent-Ready Export: Every comment is exported with its CSS selector, quoted text, reviewer intent, surrounding context, and version number. This structured package can be pulled by agents over MCP or read as a plain markdown file.
MCP Integration: Native support for Claude Code and Codex via the Model Context Protocol. Agents can push new versions and pull feedback without leaving the terminal.
Version Tracking: Each upload creates a new version in a chain. Comments are tied to their version, and resolved status is tracked across revisions.
Unlimited Reviewers: Reviewers are always free. They see only the rendered document, not the source HTML, and cannot edit or access other projects.
Share Controls: Invite viewers to a project for collaborative review, or share a single file via a read-only link with optional expiry and version visibility settings.
