F
license-
qualityC
maintenanceA stdio MCP server that enables agents without native vision to ask an OpenAI-compatible vision model to describe, OCR, or extract structured data from images via a single tool.
Last updated
Vision Bridge MCP
by shen866
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., "@Vision Bridge MCPdescribe this image of a sunset"
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.
Vision Bridge MCP
通用视觉 MCP 服务器，支持多种多模态 API 格式。当 Claude Code / Claude Desktop 使用的模型无法直接处理图片时，可通过该 MCP 工具将图片内容转换为文字描述，从而间接“看懂”图片。
功能
提供 3 个 MCP 工具：
describe_image：详细描述图片内容（对象、场景、文字、人物动作、颜色、布局等）。extract_image_text：提取图片中的所有文字（OCR）。ask_about_image：针对图片回答具体问题。
支持四种图片输入方式：
image_url：图片 URLimage_path：本地图片路径image_base64：Base64 编码的图片数据image：Messages API 格式的图片内容块，例如：
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/png",
"data": "iVBORw0KGgo..."
}
}Related MCP server: llm-vision-mcp
支持的 API 格式（Provider）
Provider | 说明 | 默认 Endpoint |
| Anthropic Messages API |
|
| OpenAI Chat Completions API |
|
| Gemini Native generateContent API |
|
通过 PROVIDER 环境变量切换 API 格式。
快速开始
全局安装
npm install -g @shen866/vision-bridge-mcp本地开发
git clone https://github.com/shen866/vision-bridge-mcp.git
cd vision-bridge-mcp
npm install
npm run build配置 Claude Code
API_KEY、BASE_URL、MODEL 为必填项。
Anthropic Messages
{
"mcpServers": {
"vision_bridge": {
"command": "npx",
"args": ["-y", "@shen866/vision-bridge-mcp"],
"env": {
"API_KEY": "your-api-key",
"BASE_URL": "https://api.anthropic.com",
"MODEL": "claude-3-5-sonnet-20241022"
}
}
}
}如果使用本地构建版本，将 command 改为 node 并把 args 改为绝对路径：
{
"mcpServers": {
"vision_bridge": {
"command": "node",
"args": ["/Users/shen/workspace/kimi-vision-mcp/dist/index.js"],
"env": {
"API_KEY": "your-api-key",
"BASE_URL": "https://api.anthropic.com",
"MODEL": "claude-3-5-sonnet-20241022"
}
}
}
}OpenAI Chat Completions
{
"mcpServers": {
"vision_bridge": {
"command": "npx",
"args": ["-y", "@shen866/vision-bridge-mcp"],
"env": {
"PROVIDER": "openai",
"API_KEY": "your-api-key",
"BASE_URL": "https://api.openai.com/v1",
"MODEL": "gpt-4o"
}
}
}
}Gemini Native generateContent
{
"mcpServers": {
"vision_bridge": {
"command": "npx",
"args": ["-y", "@shen866/vision-bridge-mcp"],
"env": {
"PROVIDER": "gemini",
"API_KEY": "your-api-key",
"BASE_URL": "https://generativelanguage.googleapis.com",
"MODEL": "gemini-1.5-pro-latest"
}
}
}
}使用
在 Claude Code / Claude Desktop 中发送图片或引用图片路径后，Claude 会自动调用 describe_image 等工具获取多模态模型对图片的文字描述，然后将描述交给纯文本模型继续处理。
如果 Claude Code 经常直接把图片发给模型导致报错，可以在项目根目录创建 .claude/CLAUDE.md：
当前模型不支持图片输入。当用户发送图片时，必须调用 vision_bridge MCP 工具处理，不要直接传给模型。环境变量
变量 | 说明 | 默认值 |
| API 格式： |
|
| API 密钥 | 必填 |
| API 基础地址 | 必填 |
| API 端点路径 | 取决于 provider |
| 模型名称 | 必填 |
| 最大输出 token 数 |
|
| Messages API 版本 |
|
| Messages API 认证方式： |
|
协议
基于 MCP（Model Context Protocol）JSON-RPC 2.0，通过 stdio 进行通信。
401 排查
如果返回 401，通常是认证头不对。各 provider 默认认证方式如下：
anthropic：x-api-key+anthropic-versionopenai：Authorization: Bearergemini：URL query parameter?key=
如果 Messages API 网关需要 Bearer Token，可设置：
"AUTH_HEADER": "bearer"Maintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
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