MCP server with image tools (vision + processing) supporting multiple providers
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# omni-image-tools-mcp > A Model Context Protocol (MCP) server that gives **computer vision** to AI models. It lets AI "see" images: describe, compare, extract text, crop objects, and more. [](https://pypi.org/project/omni-image-tools-mcp/) [](https://pypi.org/project/omni-image-tools-mcp/) [](./LICENSE) [](https://www.python.org/) [](https://github.com/alexlivre/omni-image-tools-mcp/actions) **11 tools** · **5 providers** · **Works with opencode, Claude, Cursor** --- ## Table of Contents - [Why this exists](#why-this-exists) - [Which provider to use?](#which-provider-to-use) - [Pick your model](#pick-your-model) - [Quickstart](#quickstart) - [Installation](#installation) - [Tools](#tools) - [Configuration](#configuration) - [Provider setup](#provider-setup) - [Security](#security) - [GPU memory management](#gpu-memory-management) - [Troubleshooting](#troubleshooting) - [Development](#development) - [License](#license) --- ## Why this exists If you use an MCP-aware LLM client and want your AI to **see** images, you need a local bridge between the client and a vision model. This server is that bridge: - Speaks MCP over **stdio** (works with any compliant client) - Supports **local** (Ollama, LM Studio) and **cloud** (OpenAI, OpenRouter, MiniMax) vision providers - Preprocesses images automatically (resize, compress, cache) before sending them upstream - Exposes both **AI vision** tools (describe, OCR, object detection, compare) and **deterministic processing** tools (crop, convert, resize, download) - `extract_object` finds and crops any object described in text — automatically ## Which provid…
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