MicroHEROX/Mult-Hands-Eyes-MCP

README excerpt

Mult Hands Eyes MCP Give your online LLM a pair of local hands — and local eyes. Language     English  •  简体中文 A platform-agnostic MCP server that lets your online LLM (opencode, Claude Desktop, Cursor, Cline, Windsurf, Cherry Studio, …) hand off repetitive, token-wasting grunt work to OpenAI-compatible local inference services running on this machine — text work and vision work (image understanding / OCR / image comparison). The main model stays exactly where your deployment puts it. When a task is cheaper to do locally, the model calls: - local run — run one prompt on a local text model: batch rewrites, name translations, string munging, deduplication, short summaries, structured extraction. - local vision — send images to a local multimodal model: OCR, image analysis, multi-image comparison, using structured report templates. Text-only online models get their eyes this way: pass an image path or URL, get text back. - local status — list configured backends and probe their health. The server is a pure client : it never starts, owns, or kills any process, and never writes any file. It only talks HTTP to the services you run. What it does - Two model-facing tool…

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