MCP Image Extractor
MCP 图像提取器
MCP 服务器用于提取图像并将其转换为 base64 以进行 LLM 分析。
该 MCP 服务器为 AI 助手提供以下工具:
从本地文件提取图像
从 URL 中提取图像
处理 base64 编码的图像
它在 Cursor 中的样子:
适用案例:
分析剧作家测试结果:屏幕截图
对于 Cursor 或其他客户端
手动安装
# Clone and install
git clone https://github.com/ifmelate/mcp-image-extractor.git
cd mcp-image-extractor
npm install
npm run build
npm link这将使mcp-image-extractor命令在全球范围内可用。
使用 .cursor/mcp.json 文件
对于本地开发或在特定项目中工作时,您可以在项目根目录中添加.cursor/mcp.json文件:
{
"mcpServers": {
"image-extractor": {
"command": "node",
"args": ["/full/path/to/mcp-image-extractor/dist/index.js"],
"disabled": false
}
}
}或者,如果您已经通过 npm link 安装:
{
"mcpServers": {
"image-extractor": {
"command": "mcp-image-extractor",
"disabled": false
}
}
}光标用户的重要提示:如果您看到“无法创建客户端”错误,请尝试以下替代方法:
选项 1:使用直接 GitHub 安装
git clone https://github.com/ifmelate/mcp-image-extractor.git cd mcp-image-extractor npm install npm run build npm link然后在
.cursor/mcp.json中进行配置:{ "mcpServers": { "image-extractor": { "command": "mcp-image-extractor", "disabled": false } } }选项 2:克隆并在本地运行
git clone https://github.com/ifmelate/mcp-image-extractor.git cd mcp-image-extractor npm install npm run build然后在
.cursor/mcp.json中进行配置:{ "mcpServers": { "image-extractor": { "command": "node", "args": ["/full/path/to/mcp-image-extractor/dist/index.js"], "disabled": false } } }
可用工具
从文件中提取图像
从本地文件中提取图像并将其转换为 base64。
参数:
file_path(必需):本地图像文件的路径
**注意:**所有图像都会自动调整为最佳尺寸(最大 512x512),以进行 LLM 分析,从而限制 base64 输出的大小并优化上下文窗口的使用。
从 URL 中提取图像
从 URL 中提取图像并将其转换为 base64。
参数:
url(必填):要提取的图像的 URL
**注意:**所有图像都会自动调整为最佳尺寸(最大 512x512),以进行 LLM 分析,从而限制 base64 输出的大小并优化上下文窗口的使用。
从base64提取图像
处理 base64 编码的图像以进行 LLM 分析。
参数:
base64(必需):Base64 编码的图像数据mime_type(可选,默认值:“image/png”):图像的 MIME 类型
**注意:**所有图像都会自动调整为最佳尺寸(最大 512x512),以进行 LLM 分析,从而限制 base64 输出的大小并优化上下文窗口的使用。
Related MCP server: MCP URL Fetcher
示例用法
以下是如何使用 Claude 工具的示例:
Please extract the image from this local file: images/photo.jpgClaude 会自动使用extract_image_from_file工具来加载和分析图像内容。
Please extract the image from this URL: https://example.com/image.jpgClaude 将自动使用extract_image_from_url工具来获取和分析图像内容。
Docker
使用 Docker 构建并运行:
docker build -t mcp-image-extractor .
docker run -p 8000:8000 mcp-image-extractor执照
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