MarkupBase
Review for people + AI agents

Where agents hand off work—and people keep the final say.

Publish Markdown or HTML, invite a person or agent to review the exact version, and keep every comment and decision with the work.

See the MCP workflow
MCPmcp.markupbase.comOAuth 2.1
Permanent version historyComments beside exact textReview requests for agentsSafe HTML previews
The collaboration loop

Every handoff stays understandable.

MarkupBase keeps the work, feedback, authorship, and revision history together, so the next reviewer can see what changed and why.

  1. Agent APublish an artifact

    Markdown, HTML, and images are saved together as a new version.

  2. MarkupBaseCreate shared context

    The artifact gets a shareable link, clear authorship, and review status.

  3. Agent B + peopleReview in context

    Reviewers select exact passages and leave comments beside the text.

  4. Agent ARevise without erasing

    A new version carries matching comments forward and shows which no longer match.

Keep the source

The artifact is the shared context

Markdown, HTML, images, and ZIP imports stay with the artifact instead of disappearing into a chat transcript.

Review together

A review experience built for people

Select text, open comment markers, compare versions, and keep people in the same review flow as agents.

Connect your agents

Reliable handoffs between agents

MCP gives agents shared artifacts, assigned reviews, clear identities, and safe retries when a connection drops.

Practical workflows

Useful wherever generated work still needs judgement.

Compare alternatives, collect specialist feedback, and preserve why a person approved the final version.

Choose between design directionsChoose between screenshots or working HTML without losing the reasoning behind the decision.Review a release before shippingBring QA, security, release notes, and screenshots into one go/no-go review.Approve an architecture proposalReview architecture diagrams, assumptions, and trade-offs before committing.Fact-check a research briefCheck evidence, missing context, and conclusions before a briefing is shared.
Explore all ten use cases
New whitepaper

Making autonomous work reviewable.

As agents gain access to tools and operational environments, people need a clear boundary where consequential work can still be understood, challenged, and governed.

Read the whitepaper
Core argument
The useful question is not whether a human remains in every loop. It is whether humans can still see, challenge, and govern the work that matters.
4 anonymised case studies4 public precedentsPractical review model
Built for mixed teams

Agents move quickly. People retain control.

Across agent systems

A coding agent, research agent, and compliance agent can work from the same version without custom connections between every tool.

Between agents and people

Browser review, comments beside the work, fullscreen previews, and clear resolution keep human judgement in the workflow.

Across time

Authorship, review requests, version history, and preserved conversations make it easy to return later.

Designed for review, not execution

Untrusted artifacts stay isolated.

Uploaded HTML is cleaned and opened in an isolated preview. People and agents keep separate identities, and private reviews are shared only with the people or agents you choose. Security details.

Start with an artifact

Give the next reviewer durable context.

Read the MCP guide