mcp-image-extractor
用于从本地文件、URL中提取图像并将其转换为base64格式的MCP服务器,适用于LLM分析。它还支持处理base64编码的图像。
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"image-extractor": {
"command": "mcp-image-extractor",
"disabled": false
}
}
}
可用工具 (3 个)
该服务在 MCP 协议中暴露的工具,AI 可按需调用
extract_image_from_file 4 个参数 需填 1 项
Extract and analyze images from local file paths. Supports visual content understanding, OCR text extraction, and object recognition for screenshots, photos, diagrams, and documents.
必填参数:file_path
extract_image_from_url 4 个参数 需填 1 项
Extract and analyze images from web URLs. Perfect for analyzing web screenshots, online photos, diagrams, or any image accessible via HTTP/HTTPS for visual content analysis and text extraction.
必填参数:url
extract_image_from_base64 5 个参数 需填 1 项
Extract and analyze images from base64-encoded data. Ideal for processing screenshots from clipboard, dynamically generated images, or images embedded in applications without requiring file system access.
必填参数:base64
服务介绍
MCP Image Extractor
MCP server for extracting and converting images to base64 for LLM analysis.
This MCP server provides tools for AI assistants to:
- Extract images from local files
- Extract images from URLs
- Process base64-encoded images
How it looks in Cursor:
Suitable cases:
- analyze playwright test results: screenshots
Installation
Recommended: Using npx in mcp.json (Easiest)
The recommended way to install this MCP server is using npx directly in your .cursor/mcp.json file:
{
"mcpServers": {
"image-extractor": {
"command": "npx",
"args": [
"-y",
"mcp-image-extractor"
]
}
}
}
This approach:
- Automatically installs the latest version
- Does not require global installation
- Works reliably across different environments
Alternative: Local Path Installation
If you prefer to use a local installation of the package, you can clone the repository and point to the built files:
{
"mcpServers": {
"image-extractor": {
"command": "node",
"args": ["/full/path/to/mcp-image-extractor/dist/index.js"],
"disabled": false
}
}
}
Manual Installation
# Clone and install
git clone https://github.com/ifmelate/mcp-image-extractor.git
cd mcp-image-extractor
npm install
npm run build
npm link
This will make the mcp-image-extractor command available globally.
Then configure in .cursor/mcp.json:
{
"mcpServers": {
"image-extractor": {
"command": "mcp-image-extractor",
"disabled": false
}
}
}
Troubleshooting for Cursor Users: If you see "Failed to create client" error, try the local path installation method above or ensure you're using the correct path to the executable.
Available Tools
extract_image_from_file
Extracts an image from a local file and converts it to base64.
Parameters:
file_path(required): Path to the local image file
Note: All images are automatically resized to optimal dimensions (max 512x512) for LLM analysis to limit the size of the base64 output and optimize context window usage.
extract_image_from_url
Extracts an image from a URL and converts it to base64.
Parameters:
url(required): URL of the image to extract
Note: All images are automatically resized to optimal dimensions (max 512x512) for LLM analysis to limit the size of the base64 output and optimize context window usage.
extract_image_from_base64
Processes a base64-encoded image for LLM analysis.
Parameters:
base64(required): Base64-encoded image datamime_type(optional, default: "image/png"): MIME type of the image
Note: All images are automatically resized to optimal dimensions (max 512x512) for LLM analysis to limit the size of the base64 output and optimize context window usage.
Example Usage
Here's an example of how to use the tools from Claude:
Please extract the image from this local file: images/photo.jpg
Claude will automatically use the extract_image_from_file tool to load and analyze the image content.
Please extract the image from this URL: https://example.com/image.jpg
Claude will automatically use the extract_image_from_url tool to fetch and analyze the image content.
Docker
Build and run with Docker:
docker build -t mcp-image-extractor .
docker run -p 8000:8000 mcp-image-extractor
License
MIT