"SearXNG, a privacy-respecting metasearch engine" matching MCP servers:

Enables AI-driven creation of savable Wallpaper Engine web wallpaper source projects through a local STDIO service, with bounded project discovery, revision-checked file edits, checkpoint restore, validation, and publish staging. It also opens managed preview windows to set public properties and capture screenshots and bounded logs as runtime feedback from the official engine.

Provides AI agents with 200 deterministic micro-services covering code auditing, 3D/robotics, media processing, cryptography, blockchain settlement, AI safety, networking, and math, with automatic x402 USDC micropayments.

MCP server exposing headless ffmpeg operations for video, audio, and image processing via auto-generated typed tools, enabling agentic media file manipulation.

Enables AI agents to turn local photos and ASCII designs into deterministic crochet chart PNGs with exact per-color stitch counts and yarn estimates across graph, C2C, tapestry, mosaic, and filet techniques.

A local MCP server that gathers web captures, image crops, video frames, and copy into structured evidence artifacts, letting a vision-capable agent inspect the returned media and produce evidence-backed critique with scored findings, comparisons, and quality gates. It never converts local metadata into visual judgment, so hosts must supply their own vision reasoning.

Vector illustration tools for AI agents — create scenes, characters, and graphics with shapes, armatures, materials, and rendering.

Enables AI coding agents to generate ultra-creative, non-overflowing 4:5 vertical carousels with native Chromium rendering, using modular React primitives, strict design rules, and curated creative archetypes.

Enables deterministic, local-first video production from knowledge sources by validating, persisting, routing, rendering, and running QA on platform-ready video packages with full provenance.

Engine that creates animated ASCII wallpapers, in many different ways.

open-source modular daw and audiovisual engine for ai agents. synthesize per-sample audio, generate procedural 3d geometry, and render 60fps video over 9 mcp tools.

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

Enables natural language interaction with complex computer vision workflows such as auto-labeling, class mapping, and embedding selection through an LLM-agnostic MCP orchestration layer.

Enables Claude to iteratively edit raw photos in Lightroom Classic non-destructively, applying Develop adjustments, reviewing rendered results, and refining edits within guarded sessions.

Enables AI assistants to create and edit 3D scenes, geometry, scripts, and builds in the Forma engine, with changes reflected live in the editor.

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.

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.

MCP server that turns AI into an SVG artist. One rendering engine with a rich JSON schema, AI controls all design parameters. Renders animated SVGs with CSS @keyframes and SMIL animations. Supports 16+ element types, parametric curves, pattern groups, gradient/filter/clip/mask definitions, and PNG preview. No external dependencies, runs locally via npx.

MCP server that gives AI chat real vision by reading images, files, logs, and zip archives via local OCR in any language, with privacy-first processing.

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.