"ImageJ" matching MCP servers:

MCP server for uploading local images to Sanity CMS. Enables AI assistants to upload files from your filesystem directly into Sanity as image assets.

A Model Context Protocol (MCP) server that provides tools for extracting images from PDF and Word documents.

Enables an AI assistant to convert images among HEIC, JPEG, PNG, WebP, and AVIF entirely on the local machine, including converting a folder of files into a single zip. Access is confined to a user-specified root directory, metadata is stripped by default, existing files are never overwritten, and no network requests or telemetry are used.

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 simple MCP server that reads local images and returns them as ImageContent for LLM vision analysis.

Enables Codex to generate and edit images through an existing Responses API relay, saving PNG, JPEG, or WebP files to the current project or a specified directory.

Enables listing image files in a directory and reading their content as base64 for display.

Enables creation, management, and export of Excalidraw drawings through natural language. Supports CRUD operations on drawings and export to SVG, PNG, and JSON formats with file-based storage.

A Model Context Protocol server that enables Claude to display and interact with images from the local filesystem, allowing users to view images directly in conversations and retrieve image metadata.

This MCP server lets an agent validate a local image's format, byte size, and pixel dimensions against published upload limits, and draft a cautious Basic or Pro enhancement plan from a blur description. It also surfaces the official site, pricing, and contact links, all without uploading or processing any image pixels.

An MCP server that allows users to generate images using Replicate's Stable Diffusion model and save them to the local filesystem.

Enables AI assistants to download images from URLs and perform basic image optimization tasks.

A Model Context Protocol server that manages desktop images, providing functionality to count, list, and compress image files stored on the desktop.

A TypeScript-based MCP server that generates images using OpenAI's dall-e-3 model based on text prompts and saves them to a specified directory.

Enables AI agents to actually see images from local file paths and remote URLs by returning them as vision input, with automatic JPEG re-encoding, referer handling, and optional directory allowlisting.

Enables uploading local image files accessible to the MCP host through the user's PicGo-configured image host, returning direct URLs and Markdown, HTML, or BBCode links.

Generates images from text prompts using OpenAI's API, saves them locally, and serves them via an integrated HTTP static file server.

Enables intelligent analysis and organization of image collections with smart filename generation, metadata extraction, and automated folder organization. Supports batch processing, color analysis, EXIF data extraction, and multiple naming styles for efficient photo management.