Utilities
AI-powered converter between British and American English with context awareness
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/british-american-converter' \
-H 'Content-Type: application/json' \
-d '{"text":"Enter or paste the text you want to convert between British and American English...","conversionDirection":"auto","targetAudience":"general","preserveStyle":true,"includeNotes":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/british-american-converter| Name | Type | Required | Description |
|---|---|---|---|
| text | textarea | Yes | — |
| conversionDirection | select | No | — |
| targetAudience | select | No | — |
| preserveStyle | checkbox | No | — |
| includeNotes | 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-british-american-converter": {
"name": "british-american-converter",
"description": "AI-powered converter between British and American English with context awareness",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=british-american-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": "british-american-converter",
"arguments": {
"text": "Enter or paste the text you want to convert between British and American English...",
"conversionDirection": "auto",
"targetAudience": "general",
"preserveStyle": true,
"includeNotes": false
}
}
}Questions or issues? Contact [email protected]
Stream result
data: {"chunk": "data: processed content 1", "type": "stream"}
data: {"chunk": "data: processed content 2", "type": "stream"}
data: {"type": "done"}