Design
Convert images to Base64 encoding with support for various formats and quality settings
Call this tool from your code in three languages.
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/image-to-base64' \
-F 'file=@/path/to/imageFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/en/api/tools/image-to-base64' \
-F 'imageFile=/path/to/file.ext' \
-F 'outputFormat=auto' \
-F 'includeDataUri=true' \
-F 'maxWidth=0' \
-F 'maxHeight=0'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/image-to-base64| Name | Type | Required | Description |
|---|---|---|---|
| imageFile | fileupload required | Yes | — |
| outputFormat | select | Yes | — |
| includeDataUri | checkbox | No | — |
| maxWidth | number | No | — |
| maxHeight | number | No | — |
Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-image-to-base64": {
"name": "image-to-base64",
"description": "Convert images to Base64 encoding with support for various formats and quality settings",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=image-to-base64",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "image-to-base64",
"arguments": {
"imageFile": "https://example.com/file.ext",
"outputFormat": "auto",
"includeDataUri": true,
"maxWidth": 0,
"maxHeight": 0
}
}
}Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}Questions or issues? Contact [email protected]