{"repo":"kitlau86/agent-vision-mcp","free":true,"listed":false,"github":"https://github.com/kitlau86/agent-vision-mcp","clone":"git clone https://github.com/kitlau86/agent-vision-mcp.git","description":"An MCP server that gives non-vision LLMs the ability to \"see\" images. Plug in any OpenAI-compatible vision API (Gemini, Qwen-VL, OpenAI, or self-hosted) and your text-only model — like DeepSeek in Claude Code — can analyze screenshots, OCR text, read charts, and more.","language":"TypeScript","stars":10,"topics":["claude-code","deepseek","image-analysis","mcp","model-context-protocol","ocr","openai-compatible","vision"],"license":"MIT","category":"mcp-servers","readme_excerpt":"agent-vision-mcp English 中文 🖼️ An MCP server that gives non-vision AI models the ability to analyze images What is this? Many users connect coding assistants like Claude Code to text-only models such as DeepSeek v4 that have no vision capability. As a result, when you send an image in a conversation, the main model can't understand its content. agent-vision-mcp solves this: it's an MCP (Model Context Protocol) server that lets you configure any OpenAI-compatible vision API (e.g. Gemini Flash, Alibaba Qwen-VL, OpenAI, or your own self-hosted vision model). When the main model encounters an image, it automatically calls this tool to get a text analysis of the image. In short: give your text model eyes. How it works Quick start 1. Install 2. Prepare a vision API You need an OpenAI-compatible vision API. Here are some common options: Provider Cost Configuration ---------- ------ --------------- Gemini Flash Cheap (free tier available) Get an API key, use the OpenAI-compatible endpoint Alibaba Qwen-VL Pay-as-you-go Get an API key from the DashScope platform OpenAI More expensive Use https://api.openai.com/v1 directly Self-hosted vLLM/LiteLLM Depends on hardware Runs locally, no external cost 3. Configure the MCP client Transport: stdio — This MCP server runs as a child process and communicates with the client via standard input/output (stdin/stdout) using JSON-RPC. Add the following to your Claude Code / Claude Desktop MCP configuration: 4. Use it Once configured, just send an im","default_branch":null,"files":null,"tree":[],"storefront":"/r/kitlau86","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/kitlau86/agent-vision-mcp/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."}