@cloudwerxlab/all-your-base64-mcp v3.9.0
AllYourBase64MCP
This is a Model Context Protocol (MCP) server that provides tools to convert base64-encoded images and image URLs into markdown-formatted image embeds for display in LLM chat interfaces (e.g., OpenWebUI chat, Cursor).
How It Works
The server exposes two MCP tools:
- base64-to-url: Takes base64-encoded image data and converts it to a URL that can be displayed in chat
- display-url: Takes an image URL and returns markdown for displaying it in chat
When an LLM encounters either base64 image data or an image URL that needs to be displayed in chat, it should automatically use this MCP server to convert the data into properly formatted markdown for display.
Installation
# Install globally
npm install -g @cloudwerxlab/all-your-base64-mcp
# Or run directly with npx
npx @cloudwerxlab/all-your-base64-mcp
Transport Modes
This MCP server supports two transport modes:
- HTTP Mode (default): Starts an HTTP server on port 6644
- stdio Mode: Used automatically when invoked by Cursor or when run with
MCP_TRANSPORT=stdio
The server automatically detects which mode to use based on how it's launched.
Usage Examples
Using with Cursor
Just reference it in your mcpservers.json file:
{
"mcpServers": {
"all-your-base64-mcp": {
"command": "npx",
"args": ["-y", "@cloudwerxlab/all-your-base64-mcp"],
"env": {
"BASE_URL": "http://localhost:6644"
}
}
}
}
JSON-RPC Examples
For base64-to-url tool:
{
"jsonrpc": "2.0",
"id": 1,
"method": "base64-to-url",
"params": {
"data": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA..."
}
}
For display-url tool:
{
"jsonrpc": "2.0",
"id": 2,
"method": "display-url",
"params": {
"url": "https://example.com/path/to/image.jpg"
}
}
For LLMs
This MCP server is designed to be used by LLMs when they need to display an image in chat. LLMs should automatically use:
base64-to-url
when they have base64-encoded image data that needs to be displayeddisplay-url
when they have an image URL that needs to be displayed in chat
The MCP server will return markdown that can be included directly in the chat response.
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