Text Processing
Convert text to and from leet speak (1337). Encode with Basic, Full, or Caps styles, or decode leet back to plain text.
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/leet-speak-converter' \
-H 'Content-Type: application/json' \
-d '{"text":"leet speak","action":"encode","style":"basic"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/leet-speak-converter| Name | Type | Required | Description |
|---|---|---|---|
| text | textarea | Yes | — |
| action | select | Yes | — |
| style | select | Yes | — |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}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-leet-speak-converter": {
"name": "leet-speak-converter",
"description": "Convert text to and from leet speak (1337). Encode with Basic, Full, or Caps styles, or decode leet back to plain text.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=leet-speak-converter",
"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": "leet-speak-converter",
"arguments": {
"text": "leet speak",
"action": "encode",
"style": "basic"
}
}
}Questions or issues? Contact [email protected]