Clueso MCP

Product videos usually come out of a timeline editor, one cut at a time. Clueso MCP lets an AI assistant do that editing through conversation instead, working inside a Clueso account on walkthroughs, release announcements, training clips and onboarding material.

A video editor exposed to AI clients

The connector is published by Desklamp, Inc., a Delaware company based in Wilmington, and opens its video and documentation product to AI clients using the Model Context Protocol. Clueso names Claude, ChatGPT, Gemini and Cursor among them. The server sits at a hosted endpoint and authorizes through OAuth 2.0, so nobody has to manage an API key locally. The public repository that documents it is MIT-licensed.

The tools are granular edits to a video timeline rather than a single "make me a video" call. A scripting tool sits on top, so a client can chain those edits together. Brand guidelines are applied by the account, which means they do not have to be restated in each request.

What teams make with it

The listed uses are walkthroughs of a product, feature announcements, tutorials, demos for sales teams, training content and onboarding for customers. Existing videos can be uploaded and re-edited, and a reference video can be rebuilt inside a workspace so that it stays editable by hand or by chat. The company also describes automated flows in which a shipped feature triggers a matching video, and bulk editing across a library.

Questions to settle before connecting it

The connector page shows no pricing. Clueso describes a free tier and an enterprise tier, with the detail on its main pricing page, so cost depends on the underlying plan rather than on the connector. The practical question is who can call the server. A connection authorized against a shared account lets whatever sits at the far end of the chat reach the video library just as a person with the password could.

Clueso MCP is a connector run by Desklamp, Inc., of Wilmington, Delaware, which exposes the company's video and documentation product to AI clients that speak the Model Context Protocol. Its listed clients include Claude, ChatGPT, Gemini and Cursor.

Features

• Timeline edits: granular changes to a video timeline, plus a scripting tool that lets a client chain them together.
• Video types: walkthroughs, feature announcements, tutorials, sales demos, training clips and onboarding videos.
• Existing footage: earlier videos can be uploaded, recreated and re-edited.
• Brand rules: the account's brand guidelines are applied, so requests do not need to restate them.

Clients

Customer education, marketing, support, sales and training teams that produce product videos. The site cites Teamworks, which uses it to scale videos across more than 20 products. Because the server works against a shared account, any client connected to it can reach the whole video library that account holds.

Key facts

• Access: an OAuth 2.0 sign-in to a hosted endpoint, rather than a locally managed API key.
• Public code: the repository that documents the server is MIT-licensed.
• Launch: 22 September 2026 on Product Hunt, with no independent report found.