Geography
Calculate distance and direction between cities around the world
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/distance-between-cities' \
-H 'Content-Type: application/json' \
-d '{"city1":"New York","city2":"London","unit":"kilometers"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/distance-between-cities| Name | Type | Required | Description |
|---|---|---|---|
| city1 | select | Yes | — |
| city2 | select | Yes | — |
| unit | select | Yes | — |
JSON result
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}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-distance-between-cities": {
"name": "distance-between-cities",
"description": "Calculate distance and direction between cities around the world",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=distance-between-cities",
"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": "distance-between-cities",
"arguments": {
"city1": "New York",
"city2": "London",
"unit": "kilometers"
}
}
}Questions or issues? Contact [email protected]