Text Processing
Replace consecutive spaces/tabs with single space and trim line start/end whitespace
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/whitespace-normalizer' \
-H 'Content-Type: application/json' \
-d '{"textInput":"Enter text to normalize...","normalizeSpaces":true,"normalizeTabs":true,"trimLines":true,"preserveLineBreaks":true}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/whitespace-normalizer| Name | Type | Required | Description |
|---|---|---|---|
| textInput | textarea | Yes | — |
| normalizeSpaces | checkbox | No | Replace consecutive spaces with a single space |
| normalizeTabs | checkbox | No | Replace tab characters with spaces |
| trimLines | checkbox | No | Remove whitespace from the beginning and end of each line |
| preserveLineBreaks | checkbox | 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-whitespace-normalizer": {
"name": "whitespace-normalizer",
"description": "Replace consecutive spaces/tabs with single space and trim line start/end whitespace",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=whitespace-normalizer",
"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": "whitespace-normalizer",
"arguments": {
"textInput": "Enter text to normalize...",
"normalizeSpaces": true,
"normalizeTabs": true,
"trimLines": true,
"preserveLineBreaks": true
}
}
}Questions or issues? Contact [email protected]
| Keep original line breaks (when disabled, collapses multiple consecutive line breaks) |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}