ChatGPT
Perplexity
Claude
Gemini
OpenArt's MCP connector turns Claude into a full video studio where you can generate video across six leading models — Kling 3 Omni, Seedance 2.0, Wan 2.7, and more. Describe the clip you want in chat, and Claude picks the model, sets the mode, and delivers the finished video right back to the conversation.
Once Claude and OpenArt are connected, Claude can reach every video model in OpenArt from inside any conversation, which means you describe the shot you want and Claude takes care of choosing the right model, setting the mode, configuring the parameters, firing the generation, and bringing the finished clip back to chat.
A single connection exposes 13 models across image and video (six of them dedicated video models) with output running up to 4K and every clip landing straight in your OpenArt library, none of which requires keys to manage or per-model credentials on your side.
This guide covers what the connector is, everything Claude can do with it, how to set it up in about a minute, how the workflow runs under the hood, and what becomes possible once it is live.
What Is OpenArt MCP
MCP, short for Model Context Protocol, is an open standard that gives AI agents secure access to external tools. Claude supports it natively, and OpenArt runs an MCP server at https://mcp.openart.ai/mcp.
Connecting the two gives Claude direct access to OpenArt's full generative model catalog from any chat, so your conversation thread effectively becomes your production environment.
The connector is not Claude-exclusive either. The same server works with ChatGPT, Hermes, Cursor, and any MCP-compatible client, which means a team running a mix of agents can still operate against one shared OpenArt library and one credit pool. You add the connection once, and every agent you use draws from the same account, workspace, and generation history.
What Claude Can Do Through OpenArt MCP
One Connection, Every Video Model
Through the connector, Claude can call every video model on the platform. Here’s what each model is usually the best fit for:
Kling 3 Omni is the full-mode 4K workhorse that handles text, image, and subject-reference generation. Seedance 2.0 delivers high-fidelity output with strong motion consistency, and Seedance 2.0 Fast trades a little fidelity for speed when you are iterating quickly. Wan 2.7 is built for multi-subject scenes with heavy motion, Grok Imagine 1.5 is a fast, responsive image-to-video specialist, and PixVerse V6 covers expressive, stylized looks tuned for social and marketing content. Seven image models sit behind the same connection for stills and start frames.
By default Claude picks the model that fits the shot, reading your intent against each model's built-in capability tags. You can also name a model directly in your prompt, or send the same brief to a couple of models and compare the results side by side before committing to a winner.
Animate Any Image: the Mode You'll Use Most
Animating a still is by far the most common way people make video here. It accounts for the overwhelming majority of AI video generator uses on the platform. You hand Claude an image and describe the motion you want, and it routes the job to a model tuned for image-to-video, typically Seedance 2.0, returning a cinematic clip built from your still.
Animate this product shot into a 6-second video with a slow camera pull-back.
Generate Video From a Prompt
When you have no starting image, text-to-video builds the whole scene from your description alone. Claude sends these to a text-capable model like Kling 3 Omni and returns a fully rendered clip at up to 4K, with no input footage required.
Generate a video of a futuristic city at night with rain and neon reflections.
Place a Subject in a New Scene
This is the mode that keeps a character consistent across shots. Instead of animating the original frame, element-to-video lifts the subject out of your reference image and places it into an entirely new scene you describe, so the same character can appear in setting after setting without redrawing them each time. You can also simply ask for the characters already saved in your OpenArt Characters library for consistent referencing.
Take this character image and put her walking through a rainy Tokyo street.
Reuse Anything From Your Library
Your OpenArt generation history is live creative material, not a dead archive. Claude can pull any past generation directly into a new job as a start frame or a style reference (no re-uploading, no digging through folders) which means you can reference last week's campaign image as the opening frame of this week's video, all in one conversation. No other MCP connector can reach into your OpenArt library this way.
Use my last generation as a starting point and make a warmer, more golden version.
Direct the Look in Plain Language
Direction translates from plain language into the actual generation settings. Aspect ratio, clip length, visual style, motion, and camera behavior are all directable in the same chat, and if you would rather not specify, Claude will make sensible choices for you. You stay in control without needing to know any model's parameter names; just describe the result, and the settings follow.
How to Connect OpenArt MCP to Claude
The setup takes about a minute. You add OpenArt as a custom connector inside Claude, sign in to your OpenArt account, and start prompting.
Step 1: Open Connector Settings
Launch the Claude desktop app or open claude.ai in a browser, then go to Settings → Connectors and choose Add custom connector.
Step 2: Add the OpenArt Connector
Click Add custom connector, name it OpenArt, and paste the MCP server URL into the URL field:
https://mcp.openart.ai/mcp
Save the connector. That one URL is every model; there are no separate keys or per-model credentials to add. (On team and enterprise plans, follow your organization's connector instructions.)
Step 3: Connect and Sign In
Click Connect and Claude will redirect you to sign in to your OpenArt account. Once you approve access, the connector activates and stays connected, so this is a one-time setup. You keep your existing OpenArt credits, workspace, and full generation history; nothing new to buy or migrate.
Step 4: Set Permissions to Always Allow
This is an optional but recommended tweak. Setting read and write permissions to Always Allow lets Claude act on your requests without prompting for approval each time, which makes the workflow feel continuous rather than gated. The same settings panel lets you tighten or revoke those permissions whenever you want.
Step 5: Send Your First Prompt
Open a new chat and write a brief. For example:
Generate a cinematic 6-second clip of a neon-lit Tokyo alley at night, rain on the pavement, one figure walking away from camera.
Claude will pick the model (or honor your choice if you named one), set the duration and aspect ratio, fire the generation, and return the finished clip in your chat. From there you can iterate by changing models, adjusting the camera move, pushing variations, or animating a still you already have.
How It Works Under the Hood
Three pieces are doing the work behind the scenes. Claude interprets your intent and turns natural language into structured generation settings, reading context across the conversation, referencing your past creations, and writing the request in the format each model expects.
MCP is the secure bridge that lets Claude call OpenArt's tools, with your credentials staying on OpenArt's side and Claude only ever seeing the results. OpenArt itself runs the actual generation, selecting the model, rendering the video, and returning the finished output back to your chat with a link into your workspace.
The reason Claude can pick the right model without guessing is that every model carries structured metadata — what modality it handles, which tasks it supports, what it is best for, its cost and speed profile — so Claude filters and matches against your request rather than relying on hardcoded rules.
Generation runs asynchronously: Claude fires the job, the render happens on OpenArt's side, and the finished clip comes back to the conversation when it is ready. From your side it looks like one prompt, but underneath there is a small choreography of automation that quietly replaces what used to be several separate sessions across as many tools.
Three Ways to Use It
One-Shot, Quick Clips
When you need a single video quickly, this is the simplest path. You describe the shot or hand over a still, Claude picks the model and settings, and the finished clip comes back in the conversation.
Animate this product shot into a 6-second video with a slow push-in.
Compare Models Before You Commit
If you want to see which model handles a particular shot best, you can ask Claude to run the same brief across a couple of models, compare the outputs, and keep iterating on whichever one wins; useful before you invest in a longer batch.
Run this scene as a text-to-video on Kling 3 Omni and Seedance 2.0 and show me both so I can pick.
Build a Full Campaign
For campaigns or episodic content that needs continuity, the workflow gets bigger. You generate a hero image, animate it, place the same subject into new scenes, and reuse assets from your library weeks later. Claude holds the project context across the conversation so you can pick up where you left off.
Use my last product render as the first frame, generate a 6-second reveal, then place the same bottle on a marble kitchen counter for a second clip.
Best Uses for Claude x OpenArt MCP Video Generation
E-commerce and product video.
Amazon and Shopify sellers turn new SKUs into hero clips and launch videos the same day inventory arrives. They animate a product still into a reveal, or drop the product into a lifestyle scene, compressing the lag between launching a product and having a full content set ready to push.
Social and short-form content.
Solo creators and social teams go from idea to post in a single conversation, generating short-form video for Instagram, TikTok, and YouTube, asking for variations, comparing outputs, and sizing each clip for the platform it's headed to.
Marketing campaigns at scale.
Marketing teams scale campaign visuals across formats, styles, and models in minutes, generating dozens of variations from one brief while Claude tracks which model produced which result so the team can iterate fast.
AI workflows for developers.
Builders wiring video into agentic pipelines replace integrations with more than a dozen separate model providers with a single connection: generation, model discovery, result tracking, uploads, and account state all live behind one endpoint, and the catalog updates itself as OpenArt adds models.
Teams and enterprise. Workspaces stay synced with the OpenArt website, credits are scoped per workspace so personal and team budgets never blend, and every generation records which workspace it ran in; no silent cross-charges, with project-level access control built in.
Your Videos Live in Your OpenArt Library
Generated videos do not disappear into the chat thread. Every clip lands in your OpenArt workspace, where you can view, download, or organize it the same way as any other project on the platform, and Claude keeps a memory of past renders inside the conversation, so you can reference a clip from week one when you are building week three.
This matters most for teams, since marketing, creative, and product can all draw from the same OpenArt library while briefing through their own separate Claude sessions.
Requirements for Claude x OpenArt MCP Workflows
- A Claude account that supports custom connectors (web, desktop, mobile, or Claude Code).
- An OpenArt account. The connector runs on your existing OpenArt credits, workspace, and library.
- Permission to add custom connectors inside Claude. On managed plans, your admin may need to allowlist the OpenArt MCP URL before the connector becomes available.
That is the full setup. The connector runs against your existing OpenArt account, so there is nothing to install on your side and no separate billing to arrange per model.
Why MCP Changes How Video Gets Made
Creative production has looked like an assembly line for years, with one tool for stills, another for video, a third for edits, and yet another for distribution. Every handoff between those tools cost time and lost context along the way, which is why most production timelines are dominated by wiring things together rather than the creative itself.
MCP collapses the line into a single thread. Claude writes the brief, picks the model, generates the clip, iterates on variations, and pulls from your library without ever leaving the conversation, while OpenArt supplies the rendering underneath.
Work that used to span several tools and a full afternoon can now happen in one chat, and the compounding benefit is what most creators end up valuing more than raw speed: the cycle gets short enough that you can actually iterate, and iteration is where the work gets good.
Connect OpenArt to Claude
Set up the OpenArt MCP connector in under a minute to start generating video across every leading model directly inside your Claude chat.