"GNOME Terminal" matching MCP servers:

Visual documentation MCP server with 13 tools to capture terminal screenshots, syntax-highlighted code, visual diffs, PDFs, GIFs, and more for documentation workflows.

MCP server that provides vision capabilities to coding agents, enabling them to analyze screenshots, UI mockups, terminal errors, documents, tables, and charts through OpenAI-compatible vision models. Supports local stdio and remote HTTP deployments with structured JSON output and binary upload side channels.

Enables Claude Code to display images inline within supported terminals like Ghostty and Kitty using the Kitty graphics protocol on macOS. It allows users to view various image formats including PNG, JPEG, GIF, and WebP directly in the terminal interface.

Enables AI assistants such as Claude to list and upload images on an image annotation platform, add, replace, or remove pins, polygons, circles, rectangles, and arrows, edit image metadata, and export annotations as COCO JSON or YOLO training data. It can run over stdio or Streamable HTTP so multiple clients can share one server, with an included LangGraph terminal agent.

Drives Google Flow from an agent or the terminal: Veo text-to-video, image-to-video and clip extension, plus Imagen image generation. Runs locally against your own Google account with Flow access; video generation bills that account's credits.

Generates images, video, music, and voice from plain-language prompts, shipping them production-ready as optimised WebP with SEO alt text, directly in your terminal or AI agent.

Enables AI to display its current mood as a locally generated ASCII face using Stable Diffusion, with a tool feel(emotion) that the AI can call to update the terminal display.

Enables agents to render Carbon-style PNG or animated GIF cards of source code, terminal sessions, unified diffs, and Claude Code transcripts entirely on the local machine, with secret masking always applied. Returns the written file path plus the PNG image itself so the model can inspect its own output.

A stdio MCP server that gives AI agents eyes and hands on Windows: they can capture full-screen, window, or region screenshots and read or write clipboard text and images themselves. This enables a self-correcting see-it, fix-it loop directly from an AI terminal session, with no daemon, tray app, or temporary files.

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

Enables automated visual testing by comparing screenshots against baseline images using OpenAI to verify UI consistency. It generates detailed performance reports in both terminal and Excel formats based on provided user stories and acceptance criteria.

Enables the generation of QR codes in PNG, SVG, Base64, and ASCII formats via Model Context Protocol clients. Users can save codes directly to local files or display them as terminal-friendly art through natural language commands.