"Fing" matching MCP servers:

Enables AI clients to read live, read-only observations from a running dungeon game process via stdio MCP, including full state, incremental changes, health diagnostics, map cell coordinates, and optional screenshots, while never controlling the game.

Enables LM Studio Bionic to perform multimodal image search and tagging by bridging to a local Find Images MCP server, including preview download and scratchpad registration for further editing or processing.

Enables agents and MCP clients to send local image files or image URLs with an optional question and receive text answers through an analyze_image tool. Runs against a local Ollama vision model by default and automatically falls back to Volcano Ark Doubao (or any OpenAI-compatible endpoint) when cloud credentials are configured.

Enables text-only LLMs to understand images by converting them into structured text grids (colors, textures, regions) and OCR via MCP tools. Runs locally with zero external dependencies, providing a skill-based methodology for detailed image analysis.

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.

A local MCP server for Windows and WinJUPOS 12.4.1, providing a guarded workflow for Jupiter image measurement, image de-rotation, and moon-trail repair through 22 MCP tools.