mcp-vision-server
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., "@mcp-vision-serverwhat's in this image?"
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.
mcp-vision-server
OpenAI-compatible vision MCP server with 14 provider presets.
Any MCP client (Claude Code, Codex, Cursor, ZCode…) can call it to "see" images — analyze screenshots, recognize content, read text, answer visual questions, restore UI from mockups.
Features
Single tool
analyze_image: pass an image + prompt, get text response.Three image input types: URL / local file / base64 string (auto-detect).
14 provider presets: Zhipu, Bailian, DeepSeek, OpenAI, SiliconFlow, OpenRouter, Ark, StepFun, Kimi, MiniMax, ModelScope, NVIDIA NIM, Novita AI.
Switch providers via
VISION_PROVIDERenv var orproviderparameter.Override at both env and tool parameter levels.
Related MCP server: Vison-MCP
Install & Run
Requires Python ≥ 3.10 and uv.
cd mcp-vision-server
uv sync # install deps
uv run pytest -v # run tests (optional)
uv run mcp-vision-server # start stdio serverConfiguration
Option 1: Provider preset (recommended)
export VISION_PROVIDER=zhipu # default
export VISION_API_KEY=your_keySupported presets: zhipu bailian deepseek openai siliconflow openrouter ark stepfun kimi minimax modelscope nvidia novita.
You can also use provider-specific env vars (e.g. DASHSCOPE_API_KEY, OPENAI_API_KEY) as fallback.
Option 2: Manual
Variable | Required | Description |
| Yes | API key |
| No | OpenAI-compatible endpoint |
| No | Model name |
Tool params (override env per call): image, prompt, image_type, provider, base_url, api_key, model, temperature, max_tokens.
MCP Client Setup
Claude Code (.mcp.json)
{
"mcpServers": {
"vision": {
"command": "uv",
"args": ["run", "--directory", "/path/to/mcp-vision-server", "mcp-vision-server"],
"env": {
"VISION_PROVIDER": "zhipu",
"VISION_API_KEY": "your_key"
}
}
}
}Claude Code Plugin
# After PyPI publish
claude plugins install RuyimgByCN/mcp-vision-server
# Local test
claude plugins install /path/to/mcp-vision-serverThe repo includes a .claude-plugin.json manifest — claude plugins install reads it automatically.
Codex (OpenAI Codex CLI)
Edit ~/.codex/config.toml:
[mcp_servers.vision]
command = "uvx"
args = ["mcp-vision-server"]
env = { VISION_PROVIDER = "zhipu", VISION_API_KEY = "your_key" }Or for local dev:
[mcp_servers.vision]
command = "uv"
args = ["run", "--directory", "/path/to/mcp-vision-server", "mcp-vision-server"]
env = { VISION_PROVIDER = "zhipu", VISION_API_KEY = "your_key" }Cursor / other uvx clients
Replace command with uvx, args with ["--from", "/path/to/mcp-vision-server", "mcp-vision-server"], same env.
Provider Examples
// Bailian
"env": { "VISION_PROVIDER": "bailian", "VISION_API_KEY": "your_key" }
// OpenAI
"env": { "VISION_PROVIDER": "openai", "VISION_API_KEY": "sk-xxx" }
// Fully custom
"env": {
"VISION_BASE_URL": "https://your-endpoint/v1",
"VISION_API_KEY": "your_key",
"VISION_MODEL": "your-model"
}About
Author: RuyimgByCN
License: Personal use only. Commercial use is prohibited — see LICENSE for details. Contact the author for commercial licensing.
中文说明: 个人使用免费,禁止商用。商业授权请联系作者。详见 README_ZH.md。
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