Science & Education
1/f = 1/u + 1/v solved for f, u, or v: magnification, real/virtual image nature, and power in diopters.
Call this tool from your code in three languages.
curl -X POST 'http://127.0.0.1:3003/en/api/tools/thin-lens-equation' \
-H 'Content-Type: application/json' \
-d '{"solveFor":"v","focalLength":10,"objectDistance":15,"imageDistance":0,"lengthUnit":"cm"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST http://127.0.0.1:3003/en/api/tools/thin-lens-equation| Name | Type | Required | Description |
|---|---|---|---|
| solveFor | select | Yes | — |
| focalLength | number | No | — |
| objectDistance | number | No | — |
| imageDistance | number | No | — |
| lengthUnit | 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-thin-lens-equation": {
"name": "thin-lens-equation",
"description": "1/f = 1/u + 1/v solved for f, u, or v: magnification, real/virtual image nature, and power in diopters.",
"baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=thin-lens-equation",
"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": "thin-lens-equation",
"arguments": {
"solveFor": "v",
"focalLength": 10,
"objectDistance": 15,
"imageDistance": 0,
"lengthUnit": "cm"
}
}
}Questions or issues? Contact [email protected]
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}