Health
Calculate running pace, speed, and time for various distances
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/running-pace' \
-H 'Content-Type: application/json' \
-d '{"distance":5,"unit":"km","timeHours":0,"timeMinutes":30,"timeSeconds":0,"mode":"pace"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/running-pace| Name | Type | Required | Description |
|---|---|---|---|
| distance | number | Yes | — |
| unit | select | Yes | — |
| timeHours | number | No | — |
| timeMinutes | number | No | — |
| timeSeconds | number | No | — |
| mode |
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-running-pace": {
"name": "running-pace",
"description": "Calculate running pace, speed, and time for various distances",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=running-pace",
"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": "running-pace",
"arguments": {
"distance": 5,
"unit": "km",
"timeHours": 0,
"timeMinutes": 30,
"timeSeconds": 0,
"mode": "pace"
}
}
}Questions or issues? Contact [email protected]
| select |
| Yes |
| — |
JSON result
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}