"How to Add Images to a Website" matching MCP servers:

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

A MCP server that generates high-quality images using Volcano Engine's JiMeng AI API, supporting various aspect ratios and compatible with different MCP clients.

Enables text-to-image generation using Zhipu AI's CogView-4 API. Supports generating images from text prompts with configurable size and quality parameters through MCP-compatible clients like Claude Desktop and Cline.

Exposes OpenAI's gpt-image-2 and gpt-image-1.5 to Claude Code as a single tool for generating, editing, or composing images with automatic model selection.

Enables MCP clients to generate images and iteratively edit them using OpenAI's gpt-image-2 models, with session management, background job polling, and local file saving.

基于百度图片搜索API，支持图片搜索、下载及格式转换的MCP服务器。

Local stdio MCP service that calls GPT Image API to generate images from text, edit images with references or masks, and save images locally while returning absolute paths and file URIs.

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

Enables MCP clients like Claude Desktop and Cursor to combine two public HTTPS images using AI by submitting image URLs and polling for the generated result.

Enables text-only LLMs to analyze images by sending files, URLs, or data URIs to a separate OpenAI-compatible vision model through a single MCP tool.

Enables generating images through SmartAPI's image generation endpoint directly from Codex, saving files locally.

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.

Extracts images from PDF files, allowing LLMs to access and analyze embedded images from local PDF documents.

A local MCP server that uses DashScope vision models to recognize local or remote images and returns image content in XML format to help AI understand images.

Enables AI agents to add text or logo watermarks to images via URL, batch watermark up to 20 images, and check usage, with a free tier available.

Allows AI assistants to generate and transform high-quality images from text prompts using Google's Gemini model via the MCP protocol.

An MCP server that generates and edits images using OpenAI's GPT Image model, allowing users to create images from text descriptions and edit existing images through natural language.

MCP server that analyzes images with Google's Gemini vision models, allowing agents to describe or ask questions about images without bloating context.

Enables AI assistants to generate images from text prompts and transform existing images using Google Gemini's nano banana model through the Nanana AI service. Supports both text-to-image generation and image-to-image transformation capabilities.

MCP server for the OpenGraph.io API -- extract OG metadata, capture screenshots, scrape pages, query sites with AI, and generate branded images with iterative refinement.