The MCP server offers the function of extracting images from local files and urls and converting them to base64 format, which is suitable for LLM analysis.
Enables analysis of local images through Kimi (Moonshot AI) vision models via the MCP protocol, supporting features like OCR and long context understanding.
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.
Wraps local multimodal CLIs (Google Gemini CLI and Qwen CLI) as MCP tools, enabling text-only AI assistants like Claude to analyze images through relay calls. Supports local paths, URLs, and base64 image inputs with configurable models and output formats.