# Remove.bg MCP > Remove.bg instantly strips backgrounds from any photo, whether you send a URL or base64 data. This MCP lets your AI client process high volumes of images for e-commerce and design work while keeping track of your API credits. ## Overview - **Category:** design-creative - **Price:** Free - **Tags:** background-removal, image-editing, ai-vision, automation, photo-processing ## Description Image background removal is messy stuff. You need clean cutouts fast. This MCP gives your agent the power to handle that through natural language commands. You can send it URLs or base64 image data, and it strips away the backgrounds automatically. Need a specific look? You can customize the output—pick the size (like 4k) or force a format like PNG or WebP. If the initial cutout isn't perfect, you can use another tool to clean up the edges and improve the result quality. Plus, since it manages credits, your agent keeps an eye on your account balance so you don't get stuck mid-project. This is one of those critical services available through Vinkius that lets developers and designers automate complex image tasks without switching tools or writing boilerplate code. ## Tools ### get_account Retrieves your current Remove.bg account details and remaining credit balance for monitoring usage. ### improve_result Runs an enhancement process on a cutout that was previously generated to increase edge clarity and detail. ### remove_background Processes a background removal request, returning the resulting image as base64 data after stripping the background from a source URL or image string. ## Prompt Examples **Prompt:** ``` Check my Remove.bg credit balance. ``` **Response:** ``` I've checked your account. You currently have 45.5 credits remaining and have used 5 credits in the current billing cycle. ``` **Prompt:** ``` Remove the background from this image URL: https://example.com/photo.jpg and return it as a PNG. ``` **Response:** ``` Processing image... I have successfully removed the background. You can download the processed PNG file from the link provided or I can show you the base64 data. ``` **Prompt:** ``` Improve the result for this image base64 string. ``` **Response:** ``` Applying improvement algorithms... The image has been refined for better edge quality and detail. Here is the updated result. ``` ## Capabilities ### Remove background from images Sends an image via URL or base64 data and returns a cutout with the original background removed. ### Refine cutouts for quality Takes a previously processed cutout and runs algorithms over it to improve edge detail and overall sharpness. ### Check API usage and credit status Retrieves your account information, including how many credits you have left and what you've used this billing cycle. ## Use Cases ### Listing 100 new products for an e-commerce site A product manager has 100 raw images. They tell their agent to use `remove_background` on all the URLs, forcing a PNG format and specifying 'product' type. The agent handles the batch, returning clean cutouts ready for upload. ### Cleaning up old catalog photos A designer receives historical shots with fuzzy edges. They ask their agent to first use `remove_background` and then pass those results through `improve_result`. This guarantees the highest quality, sharpest edge detail for marketing collateral. ### Building a product data ingestion pipeline A developer needs to check resource limits. Before processing anything, they use `get_account` to confirm their current credit balance, preventing costly failures mid-run. They then proceed with large batches using `remove_background`. ### Creating assets for a new product line A marketing team needs consistent sizing (4k). They instruct the agent to use `remove_background`, ensuring that every single output is correctly sized and formatted, eliminating manual resizing steps entirely. ## Benefits - Process high volume batches quickly. Send URLs or base64 data to the `remove_background` tool, letting your agent handle hundreds of images in minutes instead of hours of manual work. - Maintain image quality throughout the process. If a cutout looks rough, use `improve_result` right away to refine the edges and ensure professional detail every time. - Get consistent output specifications. You control the final product by specifying desired sizes (HD or 4k) and formats (PNG, WebP) directly in the command. - Never run out of credits unexpectedly. Use `get_account` frequently to check your API status and remaining balance before launching a major workflow. - Handle diverse subjects easily. The system recognizes different types of objects—person, product, car—so you don't need separate workflows for every item type. ## How It Works The bottom line is that your AI client handles all the API calls and parameter management for you, letting you focus only on the images. 1. First, subscribe to the MCP and input your Remove.bg API key into Vinkius. 2. Next, ask your AI client to process an image using a URL or base64 string, specifying output parameters like size (HD/4k) or format (PNG). 3. Finally, you get back the processed image data, which can be used immediately in your workflow. ## Frequently Asked Questions **How do I use remove_background with different file sizes?** You specify the size parameter (like HD or 4k) when calling `remove_background`. This ensures the resulting cutout matches your required dimensions right out of the gate. **Can get_account help me avoid running out of credits?** Yes, it's perfect for monitoring. Just ask your agent to run `get_account` at the start of a major batch job. It gives you real-time data on remaining credits and usage. **What is the difference between remove_background and improve_result?** Use `remove_background` to strip the initial background away. Then, if that cutout needs polish or better edge definition, pass it through `improve_result` afterward for a second quality pass. **Does remove_background support different image types?** It handles multiple subject types—like 'person,' 'product,' and 'car'—so you don't need separate tools. You just specify the object type in your request. **What format should I use for my final images?** You control that with `remove_background`. By asking for PNG, JPG, or WebP specifically, you guarantee the output matches your platform's requirements.