MCP server that provides vision capabilities to coding agents, enabling them to analyze screenshots, UI mockups, terminal errors, documents, tables, and charts through OpenAI-compatible vision models. Supports local stdio and remote HTTP deployments with structured JSON output and binary upload side channels.
A lightweight stdio MCP server that adds image understanding to AI coding assistants via a single tool that sends images to any OpenAI-compatible multimodal endpoint.
A local MCP server that exposes Xiaomi's MiMo-V2.5 vision model as an inspect_image tool, enabling AI agents to analyze images with structured JSON output including OCR, visual evidence, and normalized coordinates.
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.
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.
MCP server for local Ollama vision analysis, enabling text-only agents like Claude Code to inspect images via a single tool. Processes images locally with Ollama, keeping image bytes on the machine and returning text reports.
