{"repo":"devadathanmb/opencode-easy-vision","free":true,"listed":false,"github":"https://github.com/devadathanmb/opencode-easy-vision","clone":"git clone https://github.com/devadathanmb/opencode-easy-vision.git","description":"Restore the “paste and ask” vision workflow for text-only models in OpenCode ⚡","language":"TypeScript","stars":33,"topics":["minimax","opencode","opencode-plugins","glm","kimi-k2","vision","image","image-analysis","mcp"],"license":"AGPL-3.0","category":"mcp-servers","readme_excerpt":"OpenCode Easy Vision An OpenCode plugin that adds vision support to models that lack it — paste images directly into the chat and ask questions, just like you would with Claude or GPT. [!IMPORTANT] Renamed from opencode-minimax-easy-vision : Existing users only need to replace the old package name in the plugin array with opencode-easy-vision . Existing plugin configuration continues to work; no other migration is required. Table of Contents - The Problem - Demo - Setup - For Humans - For LLM Agents - Usage - Configuration - Supported Image Formats - Troubleshooting - Uninstallation - Contributing - License - References The Problem Many models — open-weight ones especially — have no vision capability. They are text-only and simply cannot process image input. For some (like MiniMax), a workaround exists: an MCP tool that reads the image externally using a vision service and returns the analysis as text. But that tool requires a local file path, not a clipboard paste — meaning you'd have to save every screenshot manually, find the path, and type it in. This plugin automates the entire workaround. It intercepts pasted images, saves them to disk, and injects the right instructions for the model to call the MCP tool with the correct path. You paste, you ask — the plugin handles the rest. Demo Without the plugin With the plugin :-: :-: The image is silently ignored by the model. The model analyzes the attached image correctly before answering. https://github.com/user-attachments/as","default_branch":null,"files":null,"tree":[],"storefront":"/r/devadathanmb","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/devadathanmb/opencode-easy-vision/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}