Development
Parse a 5-part / 6-part / Quartz cron expression into a plain-language schedule description, show the field-by-field breakdown, and list the next N execution times in any IANA timezone — with an AI-generated natural-language explanation in your language
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/cron-expression-explainer' \
-H 'Content-Type: application/json' \
-d '{"expression":"0 9 * * MON-FRI","dialect":"standard","timezone":"America/New_York","count":10,"explainLang":"en"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/cron-expression-explainer| Name | Type | Required | Description |
|---|---|---|---|
| expression | text | Yes | — |
| dialect | select | No | — |
| timezone | text | No | — |
| count | number | No | — |
| explainLang | select | 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-cron-expression-explainer": {
"name": "cron-expression-explainer",
"description": "Parse a 5-part / 6-part / Quartz cron expression into a plain-language schedule description, show the field-by-field breakdown, and list the next N execution times in any IANA timezone — with an AI-generated natural-language explanation in your language",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=cron-expression-explainer",
"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": "cron-expression-explainer",
"arguments": {
"expression": "0 9 * * MON-FRI",
"dialect": "standard",
"timezone": "America/New_York",
"count": 10,
"explainLang": "en"
}
}
}Questions or issues? Contact [email protected]
HTML result
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}