Create a product image
Use Cuta to create a studio product photo of an amber perfume bottle on warm sand, with soft side lighting. Find a suitable image model and quote a square image before generating.
Cuta MCP
Bring Cuta into the conversation. Create images, videos and audio with your favorite AI assistant, using the same projects, assets and credits.
https://api.cuta.app/mcpSign in with your Cuta account. No API key needed.
Images
Video
Audio
CutaYour creative tools, togetherCreative examples from Cuta. Your results depend on the model and prompt.
One connection
Choose your client, add Cuta, and sign in to start creating.
Use a custom connector in Claude on the web or desktop.
Open Settings → Connectors in Claude and choose to add a custom connector. Name it Cuta.
Use the Cuta MCP URL below, then add and connect the server.
Sign in to your Cuta account and review the requested permissions. Enable Cuta in your conversation and describe what you want to make.
https://api.cuta.app/mcpWith your chosen client already installed, run its command in your local terminal. These commands connect the client to the same Cuta MCP server.
codex mcp add cuta --url "https://api.cuta.app/mcp"
codex mcp login cutaclaude mcp add --transport http cuta "https://api.cuta.app/mcp"In Claude Code, run /mcp after adding the server to complete OAuth sign-in. In Codex, use the login command above. Review your Cuta permissions in the browser, then return to your assistant.
Your studio, within reach
Keep the conversation going while Cuta handles the creative work. Your assistant can find a model, quote a generation and retrieve the finished result.
Ask your assistant to find a suitable image model and turn your brief into a generation. Bring existing Cuta assets into the same project as references for your next version.
Your assistant checks the model's supported settings and credit quote before submitting a task.
Explore image creation
Use Cuta to create a studio product photo of an amber perfume bottle on warm sand, with soft side lighting. Find a suitable image model and quote a square image before generating.
Start a conversation
Copy a prompt into your connected assistant. It will help you choose a project, check available models and confirm the generation cost.
Use Cuta to create a studio product photo of an amber perfume bottle on warm sand, with soft side lighting. Find a suitable image model and quote a square image before generating.
Find the latest product image in my Cuta project and make a short cinematic video with a slow camera push-in. Show me a compatible model and the credit quote first.
Use Cuta to find a music model for a calm, instrumental soundtrack for my product film. Show me the supported duration and credit cost before creating it.
List my Cuta projects so I can choose one, then show me the recent generation tasks in that project.
Show the recent images in my Cuta project. Help me choose a reference and a compatible model for a new version with the same visual style.
How many Cuta credits do I have, and when do they expire? Help me get a quote for my next generation without submitting a task yet.
Made for your workflow
Your assistant discovers these tools from Cuta. Available models and their settings come from the live model catalog, so you can choose what fits each project.
Explore the model catalogMCP is an open protocol that lets AI assistants use external tools. Cuta MCP connects your assistant to Cuta's models, generation tasks, projects, assets and credits.
Use the guides above for Claude, ChatGPT, Cursor and Codex. Other clients need Streamable HTTP, OAuth with PKCE and dynamic client registration. Custom connection availability may depend on your client's plan or workspace policy.
No. Add the MCP server URL and sign in with your Cuta account through OAuth. Review the requested access on Cuta before approving the connection.
Generations use the same Cuta task and credit system as the website, including applicable plan discounts. The assistant can request a quote before submitting. Connecting your account and browsing your projects do not consume generation credits.
Completed results are saved to the Cuta project selected for the task. Your assistant retrieves media links when the task finishes. Whether images or videos display inline depends on the client.
Yes. Upload your files to the relevant Cuta project first, then ask your assistant to find and use them. Reference types depend on the selected model. External URLs and attachments sent only to your assistant are not imported automatically.
Ask your assistant to search Cuta's live catalog. It can read each model's supported parameters and get a quote. Availability depends on the models enabled on Cuta; the connection does not guarantee every model supports every input or feature.
Read access covers your projects, assets, task history, credit balance and model information. Generation access lets the client create tasks that spend your Cuta credits. Review the requesting client's name and permissions on the authorization page. You can disconnect Cuta in your client's connection settings.
Yes. Connect the installed Codex CLI or Claude Code client using the commands above. They use the same MCP server and Cuta account. There is no separate Cuta CLI installation required.
Check the server URL and confirm your client supports remote MCP and OAuth. If sign-in expires, start a new connection from the client. A managed workspace may need administrator approval. For an unsupported hosted callback, contact Cuta support with the client name and callback URL, without sending passwords or tokens.

Connect your Cuta account and let your assistant help you take it from here.
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