Claid AI MCP. Automate entire product image pipelines in chat.
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Claid AI connects your image processing stack to any AI client. It handles complex visual tasks like upscaling, background removal, and HDR adjustment.
You can automate product photo enhancement and asset management directly from your chat interface, managing state and retrieving quotas using a single agent call.
What your AI agents can do
Enhance image
Applies combined AI enhancements and edits to an image, such as HDR adjustment or polishing.
Get claid account info
Retrieves core account and usage quota information for the Claid AI service.
Get processing task details
Gets the status and final result of a previously started image processing task.
Applies multiple AI edits, including upscaling, background removal, and HDR adjustments, to a single image.
Retrieves current account details and your usage limits for the service.
Checks the status and retrieves the final result of an image processing task you initiated.
Provides a list of all common AI operations the Claid API supports.
Retrieves a list of organized image collections saved in your account.
Retrieves a list of webhooks set up for receiving async notifications.
Processes an image to quickly remove or replace its current background.
Uses AI models to increase the dimensions and quality of an existing image.
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Claid AI MCP Server: 8 Tools for Image Processing
Use these tools to run complex, multi-step image operations like upscaling, background removal, and HDR adjustment directly through your AI agent.
019d7570enhance image
Applies combined AI enhancements and edits to an image, such as HDR adjustment or polishing.
019d7570get claid account info
Retrieves core account and usage quota information for the Claid AI service.
019d7570get processing task details
Gets the status and final result of a previously started image processing task.
019d7570list available ai operations
Lists all common AI operations that the Claid API supports.
019d7570list claid collections
Lists the organized image collections available within your account.
019d7570list claid webhooks
Lists the webhooks configured for receiving async notifications.
019d7570remove image background
Removes or replaces the background of an image quickly.
019d7570upscale image resolution
Increases the resolution and detail of an image using AI models.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Claid AI, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Claid AI connects your image processing stack to any AI client. You can run complex visual tasks like upscaling, background removal, and HDR adjustment right from your chat. You'll manage product photo enhancement and asset management using a single agent call, keeping track of state and quotas the whole time.
Enhance and edit an image: You can apply combined AI enhancements and edits to a single image, like doing HDR adjustments or polishing the whole thing. Remove or replace backgrounds: The agent processes an image to quickly remove or swap out its current background. Increase image resolution: You use AI models to boost an image's dimensions and detail. Get the status of a job: You check the status and grab the final result of any image processing task you started. List supported operations: This tool gives you a list of all common AI operations the Claid API supports. List image collections: You get a list of organized image collections saved in your account. List configured webhooks: This tool shows you the webhooks set up to receive async notifications. Check account quotas: You retrieve your core account details and your usage limits for the service.
How Claid AI MCP Works
- 1 Subscribe to this server and provide your Claid AI API Key.
- 2 Instruct your AI client to perform a visual task (e.g., 'upscale this photo and remove the background').
- 3 The agent executes the tools, manages the asynchronous job status, and delivers the final, processed image link.
The bottom line is, you talk to your agent like a person, and it handles the complex, multi-step image processing workflow in the background.
Who Is Claid AI MCP For?
E-commerce managers, marketplace sellers, and graphic designers need this. If you spend time manually upscaling images, removing backgrounds, or running through multiple dedicated photo editing tools, this server gives you a single chat interface to manage the entire pipeline. It eliminates the need to jump between different platforms just to prep a product listing.
Automates product photo editing and background removal using natural language prompts for listing creation.
Upscales low-resolution inventory photos to meet professional platform standards without manual batch work.
Verifies AI processing results and task statuses directly within their chat interface, keeping the flow going.
Integrates high-quality, multi-step AI image editing into existing marketplace pipelines via API calls.
What Changes When You Connect
- Full Workflow Control: Instead of calling
upscale_image_resolutionthen separately callingremove_image_background, you ask the agent to do both. The agent manages the sequence and state, letting you treat the entire process as one task. - Save Time on Resizing: Need a product photo for a specific ad size? Use the agent to resize images to exact dimensions. This eliminates manual cropping and ensures your assets fit the target platform's requirements.
- Instant Quality Check: When a batch job finishes, don't wait for a dashboard email. Use
get_processing_task_detailsto check the status and retrieve the result instantly, keeping your workflow conversational. - Manage Your Assets: Beyond single edits, you can use
list_claid_collectionsto organize and find specific sets of images, keeping your assets structured and searchable. - Know Your Limits: Don't get hit with a quota error halfway through a major launch. Use
get_claid_account_infoto check your remaining AI usage quota before you start. - Enhance Beyond Basics: The
enhance_imagetool lets you apply complex, multi-stage edits like HDR adjustment and white balance, making basic shots look like studio-grade photography.
Real-World Use Cases
Prep 50 Listings for a Flash Sale
A seller has 50 low-resolution product shots. Instead of manually running them through an upscaler and then a background remover, they ask their agent: 'Upscale these 50 images and replace the background with white.' The agent chains upscale_image_resolution and remove_image_background for all files, returning a batch of ready-to-upload assets.
Revamp a Designer's Portfolio
A designer needs to enhance a collection of moody photos. They prompt the agent to run enhance_image on the batch. The agent applies HDR and polishing adjustments, turning basic shots into high-quality, consistent portfolio pieces.
Check an Image Batch Status
An e-commerce manager queues a large batch of images for enhancement. Instead of refreshing a web dashboard, they ask the agent: 'What's the status of task X?' The agent uses get_processing_task_details and confirms if the images are ready, saving them from manual monitoring.
Build a Scalable Product Pipeline
A developer needs to integrate image processing into a backend service. They use the agent's capabilities to ensure the data flows correctly, first calling list_available_ai_operations to verify supported functions, then using enhance_image for the core transformation.
The Tradeoffs
Treating tools as isolated functions
A user tries to manually chain commands: first calling upscale_image_resolution and waiting for the result, then sending that output link to remove_image_background. This breaks the conversational flow and requires the user to manage intermediate links and errors.
→ Use the agent to handle the entire workflow in one prompt. Tell the agent: 'Upscale this image, and then remove the background.' The agent manages the data transfer and sequencing between the tools.
Ignoring the task lifecycle
A user runs a large batch job and immediately asks for the final image. The job is still running, so the agent fails to deliver, leaving the user stuck and unsure of the next step.
→
After starting the job, always ask the agent to use get_processing_task_details with the returned task ID. This confirms the status and lets you retrieve the final asset when it's ready.
Overlooking account constraints
A seller runs 50 edits without checking their limit and receives a quota error halfway through the batch, derailing the entire campaign.
→
Always start by running get_claid_account_info to verify your current quota. This prevents unexpected failures and helps you plan your usage.
When It Fits, When It Doesn't
Use this server if your workflow is multi-step and highly visual. You need to combine multiple operations—for example, you must upscale the image, then remove the background, then resize it—and you want to manage that sequence via natural language. It's built for orchestration.
Don't use this if you only need to perform one single, isolated function (e.g., just checking a single collection list). For simple, single-step actions, direct API calls might be faster. But if you need to pass the output of one step to the input of the next, Claid AI is your tool.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Claid AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Prep product photos and listings shouldn't require 12 different tools.
Today, getting a product listing ready means jumping between 3-4 different platforms: a dedicated upscaler, a background cleaner, and a resizer. You download the image from one service, upload it to the next, and copy the link. This is tedious, brittle, and takes minutes per photo.
With the Claid AI MCP Server, you tell your agent to do the whole sequence. You get the final, correctly sized, background-removed, and upscaled image back in one single response. The agent handles the pipeline.
Claid AI MCP Server: Manage your entire image pipeline from chat.
Manual asset prep requires running separate tools for resolution, background removal, and canvas resizing. You manage the state, the file transfers, and the error handling yourself.
Now, the agent takes the prompt and uses the tools to manage the data flow. You just state the goal; the agent executes the necessary steps.
Common Questions About Claid AI MCP
How do I use the `upscale_image_resolution` tool with the agent? +
You simply ask your agent to upscale the image. You don't need to call upscale_image_resolution directly. The agent interprets your request and runs the tool for you, making the process conversational.
Can I check my usage quota using `get_claid_account_info`? +
Yes. Ask the agent to 'check my usage quota.' The agent calls get_claid_account_info and returns your current usage and remaining limits.
What is the difference between `enhance_image` and `remove_image_background`? +
They do different things. enhance_image applies complex, general edits like HDR or polishing. remove_image_background focuses specifically on isolating and replacing the background.
How do I check the status of a long-running task with `get_processing_task_details`? +
After you initiate a large job, ask the agent to check the status for the task ID. The agent uses get_processing_task_details to report if the task is still running or if the final asset is ready.
Does the agent support multiple operations at once? +
Yes. The agent is designed to orchestrate. You can ask it to upscale, enhance, and remove the background in a single prompt, and it will sequence the necessary tool calls.
How do I use `list_claid_collections` to organize my assets? +
The list_claid_collections tool retrieves all existing image collections in your account. You can use this to see what groups of assets you've saved, helping you manage your product lines before editing.
What if I need to replace the background with a custom scene using `remove_image_background`? +
You specify the desired background in the prompt when calling remove_image_background. The tool handles replacing the original background with a custom scene or a solid color you choose.
Which tool should I use to start a multi-step edit involving upscaling and background removal? +
Start with the enhance_image tool. It allows you to combine multiple operations—like upscaling and background removal—into a single call, keeping your workflow simple and consolidated.
Can I upscale an image to 4K resolution through the agent? +
Yes! Use the upscale_image_resolution tool. You can specify the model (e.g., photo for realistic images) and the agent will instruct Claid AI to enhance the image to high resolution.
How do I check if my image processing task is finished? +
Use the get_processing_task_details tool with the unique task ID. Your agent will fetch the current status and provide the output URL once the processing is complete.
Where do I find my Claid AI API Key? +
Log in to your Claid.ai dashboard and navigate to the API or Settings section. You can generate and copy your API key from there.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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