Why this server?

Generates and returns and image using Together.ai. This could be helpful if you want to programmatically create images and get them in base64 format.

Why this server?

An MCP server that allows you to generate and edit images using Amazon Bedrock's Nova Canvas model, supporting features like text-to-image generation, inpainting, outpainting, image variation, and background removal.

Why this server?

Compresses images using TinyPNG, which may be useful if you need to optimize images for storage or transmission after getting their base64 representation.

Why this server?

While primarily for video processing, FFmpeg can also handle images. If your goal involves converting images or extracting frames for base64 encoding, this server would be relevant.

Why this server?

Generates animations, which implies image creation, and while not directly base64 encoding, the resultant animation would be a series of images.

Why this server?

Provides image search and AI-generated icon capabilities, potentially useful to find images and get them as a base64 encoded value. The image search functionality could help locate images, while the AI generation can allow programmatic generation of icons.

Why this server?

An MCP server that allows Claude AI to generate images using Black Forest Labs' Flux model via Cloudflare Workers. This provides a way to generate images programmatically which can then be base64 encoded.

Why this server?

This doesn't directly deal with images, but if image generation was part of a codebase under review, this server might be helpful.

Why this server?

While primarily for converting Markdown to PDFs, PDFs can contain images, so this could be indirectly helpful if the user has images embedded in markdown that they want to extract or process as part of a PDF.

Why this server?

If the user wants to encode react components generated from Figma designs as base64, this could be a useful step in their process.