Provides an MCP tool that analyzes images from local paths, URLs, or data URLs via a vision language model, returning structured descriptions (brief, detailed, summary) so text-only LLMs can understand image content.
Wraps OpenAI-compatible text-to-image APIs as MCP tools, enabling image generation directly from conversations in Claude Code, Codex, Cursor, or Claude Desktop using the user's own API key.
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.
Zero-dependency MCP server that enables text-only models to "see" images via a read_image tool, which forwards the image (local path, URL, data URL, or base64) to any OpenAI-compatible vision API and returns the textual description to the main model.
