Model Context Protocol
Click through your product.
Let your agent do the rest.
Regale Studio exposes its authoring capability as an MCP server, so a compatible AI agent your company already uses can connect to it and drive Studio directly. Capture a demo by clicking through the product, then ask your agent to finish it.
A demo that used to take a week takes an afternoon
The slow part of a demo was never the recording. It was everything after: the polish, the timing, the script, the review, the second version for the next customer. That is the part an agent is genuinely good at, and it is the part Studio now exposes.
- Step 01
Click through it
Open Studio and use your product the way you would show it to a customer. That is the capture. No storyboard, no production request, no waiting for a slot in someone’s queue.
- Step 02
Ask your agent to finish it
A sentence or two, in the agent you already use all day. It polishes the rough edges, adds interaction where the viewer needs a nudge, trims to the time you have, and writes the script from your own style guide and positioning.
- Step 03
Review the draft
Nothing publishes on its own. You get a draft to approve, with one undo per change, so a fast pass over forty pages is never a one-way door.
- Step 04
Publish it for everyone
Into the Portal, where any seller can run it on two screens and the same build goes on your website, into your product and into onboarding.
One prompt, not one project
Because the agent reaches the whole project rather than a single page, the instruction can be as broad as the job. This is what a real one looks like.
Take the capture I just made. Trim it to four minutes, add hover cues on the filter and the export button, rewrite the presenter notes from the positioning one-pager and the brand voice guide in our wiki, then publish it as a draft to the sales library.
Your agent is already connected to your systems, and Regale never needs a copy of any of it. The same agent that reaches Regale over MCP also reaches your content stores, your brand and style guides, your positioning and messaging, your competitive material and your CRM. So the script does not come back as generic AI prose. It comes back in your voice, in your tone, using your value pillars and the words your company has agreed to use, because it was written from your own source material rather than invented.
Polish
Tidy the rough edges of a live click-through into something you would put in front of a customer.
Trim for time
Cut a twelve-minute walkthrough to the four minutes a first call actually allows.
Add interaction
Hover cues and guidance so an unattended viewer knows where to click next.
Write the script
Presenter notes in your own voice, from your positioning and style guides.
Re-version it
The retail version, the German version, the version for the customer you are meeting Thursday.
Publish it
Draft by default, permission gated, ready for anyone on the team to run.
When a demo costs an afternoon, every deal can have one
Demo scarcity shapes a sales process more than anyone admits. When a tailored demo takes a week and a specialist, it gets rationed to the biggest deals, late in the cycle, delivered by the few people who can. Change the cost and every one of those constraints moves.
The first call has a demo in it
Buyers who see the product working early stop arguing about whether it is possible and start arguing about scope. The pursuit keeps the momentum it had the day they asked, rather than losing a week to a calendar.
Coverage stops depending on headcount
Tailored demos were rationed because production was scarce. When the second version costs a prompt, the mid-market deal gets the same treatment as the flagship one, and nobody has to decide which deals deserve a demo.
Your specialists go back to the deals that need them
Solution engineers stop spending their week on first-call walkthroughs. That capacity moves to late-stage work, which is where a specialist actually changes the outcome of a deal rather than just showing up in it.
The library stops dying quietly
Most demo libraries are abandoned two releases after the person who built them moved on. Bringing forty demos current in one pass is the difference between an asset and a sunk cost.
Bring your own agent
MCP is an open protocol for connecting agents to tools. Regale MCP lets a compatible agent from your existing AI provider work with Regale Studio’s authoring tools.
- Claude
- ChatGPT
- Gemini
- Microsoft Copilot
- Your internal agent
Regale MCP server
One connection. It drives Regale Studio through the same interfaces an author uses.
Keep your existing AI provider
Regale MCP connects your compatible AI agent to Regale Studio. Review the connection, data access and tool permissions through your organization’s existing IT policies.
Nothing new to learn
Your team prompts the agent they already use every day. There is no Regale AI interface to train anyone on, because there is no Regale AI.
It operates Studio
Sections and pages, shapes and text, presenter notes, theme, variables, comments, project-wide replace, capture and staging, translation and publishing. The same surfaces a human author reaches.
An agent with authoring access needs limits, so it has them
The objection to agentic authoring is not whether it works. It is what happens when it is wrong, or when it is fast and wrong at scale.
Draft by default
Nothing an agent does reaches a customer unreviewed. Publishing is a separate, permission-gated action, and the permission model does not change because the actor is an agent rather than a person.
One undo per change
Every action is individually reversible, so a bad pass over forty pages is recoverable rather than a restore-from-backup conversation.
The same interfaces
An agent works through Studio’s own authoring surfaces. There is no privileged AI path into a project that a human author does not also have.
In-call retrieval is not shipped. Having your agent find the right demo for you in the middle of a live call is on our roadmap. It is the demo everyone in this category is gesturing at, and we are not going to claim it before it exists.
MCP is an open protocol, and that cuts both ways
Any funded competitor can put an MCP server over an authoring API, and some already have. We would rather tell you that than pretend it is a permanent moat.
What is not copyable in a quarter is what sits underneath: over two decades of capture engineering that reaches the operating system rather than a browser tab, the two-screen guided experience, and a library your organization has already paid to build. The agent is what makes all of that affordable to keep current. It is the multiplier, not the product. Why teams choose Regale.
Point your own agent at a demo you already have
The fastest way to judge this is to watch it re-version something of yours, with your agent, in your tenant.