Click on "Deploy 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., "@image-to-base64 convert this image to base64: https://example.com/photo.jpg"
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.
A Model Context Protocol (MCP) based image to Base64 server designed for Cursor to actually "see" and process images.
🖼️ Image to Base64: Convert local images or remote image URLs to Base64 format
🌐 Remote URL Support: Automatically download and process web images
📋 Multi-format Support: Support PNG, JPEG, GIF, WebP, SVG and other image formats
⚡ High Performance: Use Sharp library for efficient image processing and optimization
🔗 MCP Protocol: Standardized AI tool interface for seamless integration with AI assistants
🎯 Auto Optimization: Intelligently convert to JPEG format to reduce file size
📦 NPX Support: Support running directly through npx without installation
Related MCP server: Extract-Image
Add to your Cursor MCP configuration file:
{
"mcpServers": {
"image-to-base64": {
"command": "npx",
"args": ["@code-tinker/mcp-image-to-base64"]
}
}
}
将图片地址转为base64然后AI才可以真正看到这张图片。支持本地文件路径和远程URL。
Inputs: image_path (required).
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Scored across 1 tool
Only one tool exists, so there is no possible confusion with other tools. The tool's purpose is clear and unambiguous.
The single tool uses a descriptive snake_case name that aligns with the server's purpose, and there are no inconsistent naming patterns to compare.
For a single-purpose utility server, one tool is well-scoped and appropriate. Additional tools would be unnecessary or out of scope.
The tool fully covers the server's stated purpose: converting images to base64 from both local paths and remote URLs. There are no missing operations within this narrow domain.
Convert JPG images to and from popular formats through MCP-compatible AI clients.
Convert images to PNG, JPEG, WebP, or AVIF through one public remote MCP tool.
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Image processing over MCP: compress and split images, generate images and QR codes.