"Information about Base64 Encoding" matching MCP servers:

Converts local images or remote image URLs to Base64 format via the MCP protocol, enabling AI assistants to process images.

Enables AI assistants to remove backgrounds from images using the Poof API via URLs, file paths, or base64 encoding. It also allows users to monitor their account information and remaining credit balance.

Enables encoding 100+ barcode symbologies and decoding common 1D/2D formats, plus terminal QR codes.

Enables image analysis and recognition through multiple LLM vision models (Gemini, GPT-4o, Qwen-VL, Doubao) by accepting image URLs or Base64 data and returning text descriptions or answers to questions about the images.

An MCP server that uses Xiaomi MiMo v2.5 multimodal model to provide image recognition capabilities (description, multi-image analysis, OCR, and image info validation) for text-only main models like deepseek-v4-flash, accepting local paths, URLs, file://, and base64 data inputs.

Gives text-only LLM coding agents vision by routing images to a multimodal model and returning detailed textual descriptions. Supports local files, URLs, clipboard, base64, raw bytes, and multiple providers like OpenAI, Anthropic, and Gemini.

Enables AI assistants to generate real images via multiple models (OpenAI, Gemini, Recraft, Seedream, Grok, Arrow) and returns usable file paths instead of base64 data.

An MCP server for generating and editing images using Google's Gemini Nano Banana models, returning file paths instead of base64 to keep context small.

Enables image analysis using any OpenAI-compatible vision API, supporting URLs, local files, or base64 input with custom prompts.

Enables image analysis, OCR, and text-to-image generation through OpenAI-compatible APIs. Supports local paths, URLs, or base64 images with configurable models and backup endpoints.

High-performance OCR MCP server supporting multiple input modes (path, base64, URL, upload), batch processing, and output formats like plain, JSON, and Markdown.

MCP server that exposes GLM-4.6V-Flash (free vision model) image analysis to any MCP client, supporting single/multi-image analysis, OCR, and multi-image comparison via an analyze_image tool that accepts local paths, HTTP(S) URLs, or base64 data URIs, with rate-limit resilience and multi-key failover.

Enables LLMs to analyze images via OpenAI-compatible multimodal models, supporting local files, base64, and URLs with safety validation and model selection.

A Model Context Protocol server that extracts images from URLs or base64 data and converts them into a format suitable for LLM analysis, allowing AI models to process and understand visual content.

A local (stdio) MCP server for PixelVault — agent-first image hosting, enabling upload of local files by path without base64.

Enables image generation and transformation using Gemini API, returning file paths instead of base64 data to avoid token limit issues in Claude Code.

MCP server that exposes an analyze_image tool using Gemini vision models to describe or analyze images from local paths, URLs, or base64 data URIs.

A Model Context Protocol server that enables fetching and processing images from URLs, local file paths, and numpy arrays, returning them as base64-encoded strings with proper MIME types.

MCP server that provides an analyze_image tool using OpenAI-compatible vision LLMs to describe images from file paths, URLs, or base64 data.

Enables MCP-compatible AI agents to generate background images and videos through the museav platform, and to perform local image post-processing such as background removal, upscaling, watermark removal, and compression, returning file paths instead of base64.