Text Processing
Quickly delete certain sentences from the given text
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/text-sentence-remover' \
-H 'Content-Type: application/json' \
-d '{"textInput":"Enter text to remove sentences from...","removeMode":"random","removePattern":"Enter pattern or keyword...","removeIndices":"e.g., 1,3,5...","removeProbability":30,"preserveFormatting":false}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/text-sentence-remover| Name | Type | Required | Description |
|---|---|---|---|
| textInput | textarea | Yes | — |
| removeMode | select | Yes | — |
| removePattern | text | No | — |
| removeIndices | text | No | — |
| removeProbability | number | No | — |
| preserveFormatting |
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-text-sentence-remover": {
"name": "text-sentence-remover",
"description": "Quickly delete certain sentences from the given text",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=text-sentence-remover",
"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": "text-sentence-remover",
"arguments": {
"textInput": "Enter text to remove sentences from...",
"removeMode": "random",
"removePattern": "Enter pattern or keyword...",
"removeIndices": "e.g., 1,3,5...",
"removeProbability": 30,
"preserveFormatting": false
}
}
}Questions or issues? Contact [email protected]
| checkbox |
| No |
| — |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}