Which integrations are available for this server?

Allows using local vision models (e.g., llava) via Ollama API for image recognition. Allows using OpenAI's vision models (e.g., gpt-4o) for image recognition via OpenAI-compatible API.

How do I use api-vision-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@api-vision-mcp what'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.

api-vision-mcp

by stzhiyang

Overview Schema Related Servers Score Discussions

JavaScript

Remote

API Vision MCP Server

视觉模型图像识别 MCP server，默认模型 mimo-v2.5，兼容 OpenAI 格式 API。

安装

1. 克隆仓库

git clone https://github.com/stzhiyang/api-vision-mcp.git ~/.claude/plugins/custom/api-vision-mcp
cd ~/.claude/plugins/custom/api-vision-mcp
npm install

2. 注册到 Claude Code

编辑 ~/.claude.json，添加全局配置：

"mcpServers": {
  "api-vision": {
    "command": "node",
    "args": ["~/.claude/plugins/custom/api-vision-mcp/index.js"],
    "env": {
      "VISION_API_KEY": "你的API密钥",
      "VISION_API_BASE_URL": "https://api.example.com",
      "VISION_API_MODEL": "mimo-v2.5"
    }
  }
}

3. 重启 Claude Code

Related MCP server: Vision MCP

环境变量

变量	必填	说明	默认值
`VISION_API_KEY`	是	API 密钥	-
`VISION_API_BASE_URL`	是	API 地址	-
`VISION_API_MODEL`	否	模型名称	`mimo-v2.5`

使用

在对话中粘贴图片并提问，或显式调用：

请使用 analyze_image 工具识别图片内容

说明：MCP 工具不会自动触发，需要用户显式请求或 Claude 判断需要图像识别时才会调用。

切换模型/平台

修改 env 中的三个变量即可：

平台	VISION_API_BASE_URL	VISION_API_MODEL
OpenAI	`https://api.openai.com`	`gpt-4o`
DeepSeek	`https://api.deepseek.com`	`deepseek-chat`
通义千问	`https://dashscope.aliyuncs.com/compatible-mode`	`qwen-vl-max`
智谱	`https://open.bigmodel.cn/api/paas`	`glm-4v`
Ollama	`http://localhost:11434`	`llava`

注意：不同平台的 API 路径可能不同。如果请求失败，检查 index.js 中的 /v1/chat/completions 路径是否需要调整（如某些平台用 /v1/messages）。

依赖

Node.js >= 18
@modelcontextprotocol/sdk
zod

This server cannot be installed

license - not found

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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