"A customizable and widely supported Minecraft server" matching MCP servers:

Enables agents to build standard 64×64 Minecraft skins, validate technical texture properties, and generate inspection previews locally through MCP tools.

Enables AI assistants to design Minecraft structures by placing and editing blocks, inspecting layers, rendering isometric views with the game's own textures, and saving .nbt files without running the game.

Enables Claude to create and edit Minecraft skins in real time inside the Minecraft Skins Editor, with painting tools, undo/redo, and skin downloads.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Enables AI agents to load Minecraft Java worlds and render them independently via WebGL2, with camera control, block queries, shader presets, performance stats, and stable screenshots returned over MCP.

Enables AI agents to create, edit, validate, and package pixel-art textures for Minecraft resource packs through deterministic MCP tools.

MCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds — powered by Claude analysis + Gemini rendering.

Enables AI assistants to control a Blender instance through MCP tools, supporting scene creation, editing, and asset exchange via HTTP and background CLI processes.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

An MCP server for generating images and checking generation status through ComfyUI's API. It allows interaction with local ComfyUI instances by providing workflow-based image generation and status checking tools.

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

Enables text-only agents to process images by accepting image files, base64 data, or URLs, sending them to multimodal models, and returning structured text results via MCP.

Enables driving Inkscape headlessly from an MCP client, with verified SVG editing, rendering, optimization, and animation tools.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

MCP server (stdio, TypeScript) for optimising the images in a project with verified quality. Tools: analyze_images (read-only dry run) and optimize_images (in place or to a folder). Source: mcp/ in this repository; npm: optiq-mcp; MCP Registry: io.github.Baukaalm/optiq-mcp.

Compress, merge, split, OCR and convert PDFs (Word, Office, images, webpages) on local files, plus password protect and unlock, through the Papyrio API. Works without a key on a free guest tier; an optional RapidAPI key raises the limit.

Provides MCP-compatible AI agents with a verify_image tool to check a photo's capture time and provenance using C2PA, EXIF, XMP metadata, and pixel forensics, returning a verdict and confidence score.

Enables AI assistants to generate high-quality images using SiliconFlow's Flux model through the Model Context Protocol, supporting multiple resolutions and customizable parameters.

Enables AI clients to watch local video files or YouTube/Bilibili and other supported URLs, receiving timestamped transcripts, subtitles, searchable text and keyframe contact sheets. Runs fully offline with local speech recognition and bundled ffmpeg, so no API key or cloud upload is needed.

A local MCP server that provides image processing tools including resizing, cropping, format conversion, compression, rotation, flipping, thumbnailing, watermarking, effects, placeholder generation, and overlaying.

Lets a text-only LLM read images and PDFs by delegating to a vision model running on your own GPU.

Enables coding agents to turn videos from social platforms or local files into a small set of distinct frames plus a manifest, so they can answer visual questions by reading image paths. Also provides metadata lookup for captions and authors without downloading the video.

Turn a sentence into an image or a short video on your machine.

Enables users to convert video URLs into GIF images with customizable size, frame rate, time range, and looping, returning the GIF and a text summary to MCP clients.

Enables AI agents to author node-graph-based procedural graphics as data and render them deterministically via a pinned headless engine, returning validated, hashed image artifacts with full provenance.

Enables an AI agent to capture a photo via a live camera preview, returning the image to the agent and saving it locally.

Search a YouTube video's transcript and get back only the moments that answer the question, each with a clickable timestamp deep link. Also reads the video's frames — slides, charts, demos and on-screen text — and verifies every citation against recorded evidence before returning it

Lizard Eyes — a local vision MCP server backed by Qwen3-VL-4B, exposing a single vision.inspect tool for analyzing images via llama-server.

A Model Context Protocol server that renders Apache ECharts options to SVG, enabling AI agents to generate deterministic charts server-side without a browser.

Enables AI clients to control a running Blender instance through the Model Context Protocol, allowing scene inspection, object creation and editing, rendering, and execution of Blender Python. It works locally via a WebSocket bridge between the MCP server and a Blender add-on.

MCP server that generates Molanko avatars from an image or Minecraft player name/UUID, returning the PNG as an image result.

Transcodely is agent-native video infrastructure: transcode, host, and get a playable link back from one natural-language prompt. Connect with one OAuth click, then create a job, poll status, and hand back a durable player URL - 7 tools, including AI-generated captions.

A macOS utility that captures screenshots and analyzes them with AI vision, enabling AI assistants to see and interpret what's on your screen.

MCP server for generating videos using OpenAI Sora model via api.tu-zi.com, enabling AI assistants to create videos from text prompts with customizable orientation and model quality.

A standalone MCP server (also usable as a Node library) that lets an AI host browse its QQ favorite-sticker knowledge base, search web meme libraries by emotion keywords, preview images before use, record what each sticker means, and send a single sticker into whitelisted QQ groups or private chats. It enforces whitelists, per-session cooldowns and hourly caps, human-like send pauses, SSRF-safe image downloading, and prompt-injection-resistant sticker notes.

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 Claude and other MCP clients to create and edit vector artwork inside a running Graphite editor, turning SVG into fully editable native layers and supporting export, styling, transforms, selection and layer management. Every operation is delivered as a regular editor message, so undo, selection and the Layers panel behave exactly as with manual edits.

An MCP server that captures screenshots of URLs or local app windows and analyzes them with a local Ollama vision model, enabling Claude to visually inspect web pages and desktop applications without sending image data externally.