Text Processing
Fill text templates with variables and data using various template formats
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/text-template' \
-H 'Content-Type: application/json' \
-d '{"templateText":"Enter template with variables...","variablesData":"Enter JSON data: {\"name\": \"John\", \"age\": 30}","templateFormat":"mustache","missingVariableAction":"empty","dateFormat":"none","numberFormat":"none","escapeOutput":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-template| Name | Type | Required | Description |
|---|---|---|---|
| templateText | textarea | Yes | — |
| variablesData | textarea | Yes | — |
| templateFormat | select | Yes | — |
| missingVariableAction | select | Yes | — |
| dateFormat | select | Yes | — |
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-template": {
"name": "text-template",
"description": "Fill text templates with variables and data using various template formats",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=text-template",
"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-template",
"arguments": {
"templateText": "Enter template with variables...",
"variablesData": "Enter JSON data: {\"name\": \"John\", \"age\": 30}",
"templateFormat": "mustache",
"missingVariableAction": "empty",
"dateFormat": "none",
"numberFormat": "none",
"escapeOutput": false
}
}
}Questions or issues? Contact [email protected]
| numberFormat |
| select |
| Yes |
| — |
| escapeOutput | checkbox | No | — |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}