claude-image-recognition-mcp
Provides image recognition by routing images to any OpenAI-compatible vision model, enabling analysis of local files, URLs, or clipboard images with models like GPT-4o, GLM-4V, and Qwen-VL.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@claude-image-recognition-mcpDescribe this image: /tmp/screenshot.png"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
claude-image-recognition-mcp
OpenAI-compatible vision recognition MCP server. Lets any MCP client (Claude Code with a non-multimodal model, etc.) "see" images by routing them to any OpenAI-compatible vision model (GLM-4V, Qwen-VL, GPT-4o, vLLM, …).
Install
npm i claude-image-recognition-mcp
# or use directly via npx
npx claude-image-recognition-mcpRelated MCP server: z_ai_vision_mcp_server_clone
Configure
Set environment variables (all prefixed IMAGE_RECOGNITION_):
Var | Required | Default | Description |
| ✅ | — | API key |
| ✅ | — | OpenAI-compatible root, e.g. |
| ✅ | — | Vision model id, e.g. |
| ❌ |
|
|
| ❌ |
| 64–8192 |
| ❌ |
| per-request timeout |
| ❌ |
|
|
| ❌ |
| local file size cap |
Wire into an MCP client
{
"mcpServers": {
"image-recognition": {
"type": "stdio",
"command": "npx",
"args": ["-y", "claude-image-recognition-mcp"],
"env": {
"IMAGE_RECOGNITION_API_KEY": "<key>",
"IMAGE_RECOGNITION_BASE_URL": "https://open.bigmodel.cn/api/paas/v4",
"IMAGE_RECOGNITION_MODEL": "glm-4v-plus"
}
}
}
}Tool: recognize_image
Param | Type | Description |
| string (required) | local path / http(s) URL / literal |
| string | question or instruction (default: describe the image) |
| string? | override configured model id |
|
| OpenAI vision detail |
| number? | 64–8192 |
Clipboard
Windows:
Win+Shift+S, then passimage: "clipboard"macOS: needs
brew install pngpasteLinux: needs
wl-paste(Wayland) orxclip(X11)
License
MIT
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
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