Provides vision understanding capabilities such as image analysis, OCR, object localization, and video frame analysis, plus optional image generation and editing, to coding agents via OpenAI-compatible multimodal models. Runs as a local MCP server with HTTP and stdio transports, configurable for clients like Codex, Claude Code, Kimi, and Cursor.
A minimal local vision bridge for text-only VS Code Copilot, enabling it to see images by sending them to a local Ollama vision model and returning text descriptions. It provides MCP tools for image description, listing, OCR, and status checks.
A local Ollama-backed MCP server that gives coding assistants a portable photo-understanding toolset including photo analysis, OCR, scene inspection, comparison, and metadata extraction.
MCP server enabling LLM clients without vision capability to process images by delegating to local Ollama vision models. Supports describing images, OCR, asking questions, and processing clipboard images.
Enables AI-powered vision analysis using local Ollama models. Supports screenshot analysis, OCR, text detection, and health monitoring via MCP protocol.
