Enables text-only reasoning models to see images by wrapping vision-language models as MCP tools, supporting image description, OCR, chart analysis, and custom questioning within MCP-compatible IDEs.
Provides vision capabilities to text-only LLMs by analyzing image files via Qwen-VL and returning textual descriptions, with support for OCR, UI analysis, diagram/chart understanding, and code extraction through MCP stdio.
Gives any MCP client (OpenCode, Claude Code, Claude Desktop, Cursor, etc.) the ability to process images by automatically converting them to text descriptions using a vision model, so that text-only LLMs can handle image-based queries.