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Text Processing

Text Prefix/Suffix

Add prefix or suffix to each line or word

text· Text resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL
curl -X POST 'https://api.elysiatools.com/en/api/tools/text-prefix-suffix' \
  -H 'Content-Type: application/json' \
  -d '{"textInput":"Enter text to process...","targetType":"lines","prefix":"Enter prefix text...","suffix":"Enter suffix text...","applyTo":"both"}'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP
POST https://api.elysiatools.com/en/api/tools/text-prefix-suffix

Parameters

NameTypeRequiredDescription
textInputtextareaYes—
targetTypeselectYes—
prefixtextNo—
suffixtextNo—
applyToselectYes—

Response format

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json
{
  "mcpServers": {
    "elysiatools-text-prefix-suffix": {
      "name": "text-prefix-suffix",
      "description": "Add prefix or suffix to each line or word",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=text-prefix-suffix",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call
{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "text-prefix-suffix",
    "arguments": {
  "textInput": "Enter text to process...",
  "targetType": "lines",
  "prefix": "Enter prefix text...",
  "suffix": "Enter suffix text...",
  "applyTo": "both"
}
  }
}
Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

Questions or issues? Contact [email protected]

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Text result

JSON
{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}