Clueso MCP

Clueso MCP is a connector that turns AI agents into video creation engines inside Clueso. Connect the Clueso MCP, describe the video you want, and the agent handles the production work while every output stays fully editable by you or by AI. It works with Claude, ChatGPT, Gemini, Cursor, Claude Code, Codex, and Antigravity. Clueso says its MCP lets AI agents create on-brand videos for customer education, product marketing, support, sales, and training. The tool's own tagline is simple: create and edit videos by chatting. Teams give Clueso an idea, a deck, a reference video, or a recording, and it handles the whole video production, including storyboard, scenes, voiceover, music, and editing, on-brand. Video production is usually a bottleneck. Someone has to storyboard, record, edit, caption, and localize a clip, then repeat that work every time a feature ships, a support question recurs, or a new market opens. The Clueso MCP addresses that by meeting teams where they already work: inside the AI agent they are already chatting with. Rather than learning a new editor or hiring production capacity, teams describe the outcome and let an agent act inside Clueso, which means video becomes part of existing workflows instead of a separate project. Clueso positions the MCP as the final piece needed to build a truly automated pipeline, connecting the agent to a workspace that holds brand guidelines, personas, tone of voice, and past projects. Setup takes about two minutes according to Clueso. You copy an install prompt from the cards at the top of the Clueso MCP page and paste it into your AI tool. The prompt walks your agent through connecting Clueso, then you sign in with Google. There is no API key or credentials to manage, and you do not need a Clueso account first, since one is created when you sign in. Clueso also offers a separate install for video skills. The connector works with any AI tool that supports the Model Context Protocol, including Claude, ChatGPT, Gemini, and Cursor today, and Clueso notes that as more tools adopt MCP, they will connect to Clueso automatically with no extra integration work needed on either end. Clueso MCP can build anything you can build in Clueso. The site lists video remakes, product launch videos, explainers and tutorials, talking head launches, and UI animations among the things an agent can produce, along with product walkthroughs, feature announcements, sales demos, training content, and customer onboarding videos. Inputs are equally broad: an idea, a deck, a reference video, or a raw recording. In the video remake workflow, you upload a video you love and Clueso rebuilds it inside your workspace, fully editable by hand or by chat. Agents can also edit existing videos, swapping assets, updating text, changing branding, trimming clips, adjusting transitions, and rearranging sections. The site highlights a set of top workflows that show how the MCP fits into work teams already do. In product marketing, a feature ships and a video ships with it: Clueso reads releases from Linear, generates a feature release video, and sends it to the PMM via Slack. In customer support, top support tickets become explainer videos: Clueso reads recurring questions from Intercom or Slack, produces tutorials, and publishes them straight to the Help Center. In sales enablement, every meeting ends with a shareable recap video in minutes, because Clueso reads transcripts from Gong, creates polished recap videos, and sends them to stakeholders via email. Two further workflows target content scale and onboarding. For translations, teams expanding into a new country can get their entire content library there first: Clueso creates videos for each customer persona a team sells to and exports a fully localized library in all languages. For employee onboarding, Clueso pulls SOPs from an HRMS such as Darwinbox, generates training videos, and organizes them into role-specific folders in Notion, so a new hire joining on Monday finds their training library already waiting. Clueso highlights four things that make the MCP different. Bulk editing lets a team update 3 videos or 300 with the same effort, scaling up custom copy, changing languages, or revamping brand guidelines with a single instruction to the AI agent. Always-on-brand behavior comes from giving the agent access to brand guidelines, personas, tone of voice, and past projects, so every video is on-brand from the first draft. Multi-tool workflows let teams build pipelines that span their entire stack, with the MCP described as the final piece that can create a truly automated pipeline. And edit-your-way means outputs remain fully editable end-to-end: change anything in your video by hand or just tell your AI agent to do it. Data handling is described in the FAQ. The MCP operates within existing workspace permissions, so an AI agent can only access projects and assets your account already has access to. Video content stays on Clueso's infrastructure and is never used to train external AI models, all connections are encrypted, and MCP access can be revoked anytime from settings. Collaboration works exactly as it always has: every member of a Clueso workspace can connect their own AI agent, and videos created or edited via MCP live in the shared workspace like any other project, so teammates can review, comment, and continue editing them in the Clueso editor or through their own AI agents. It is worth distinguishing the MCP from Clueso's built-in AI features such as auto-captions, smart trimming, and AI-assisted editing, which work inside the Clueso editor. MCP does something different: it lets external AI agents drive Clueso from the outside, so an agent can create and edit videos as part of a larger workflow spanning multiple tools, for example reading a ticket in Linear, generating a video in Clueso, and posting it to Slack in one automated chain. The stated benefits follow from that: less manual production work, consistency across every video, and the ability to produce at a scale that would otherwise require far more effort. Teamworks, which scales videos for 20+ products, is cited as a customer. Zach Romash, Senior Manager of Customer Education, says that from Claude they upload raw video straight to Clueso, tell it the edits, format, and callouts they want, and they are in good shape with just a few final touches. Typical use cases map directly to the workflows above: recreating a reference video as your own, announcing a release as soon as it ships, turning recurring support questions into Help Center tutorials, producing meeting recap videos for stakeholders, exporting a localized video library for a new market, and building onboarding libraries from existing SOPs. Because the product is aimed at customer education, product marketing, support, sales, and training functions, the practical target is any team that regularly produces instructional, promotional, or recap video and wants it generated, updated, and localized through conversation rather than manual editing. The takeaway is straightforward. Clueso MCP turns the AI agent a team already uses into a video production partner, connecting chat to a workspace where storyboards, scenes, voiceovers, music, editing, brand guidelines, and localized content all live and stay editable. If a team can type a message to a chatbot, it can create, edit, scale, and localize product videos from a simple conversation.