Science & Education
γ = 1/√(1−v²/c²) with 1/γ, βγ, and √(1−β²) for any subluminal speed — the single number behind all of special relativity.
Call this tool from your code in three languages.
curl -X POST 'http://127.0.0.1:3003/en/api/tools/lorentz-factor-calculator' \
-H 'Content-Type: application/json' \
-d '{"speedMode":"beta","beta":0.99,"speedMs":0}'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/lorentz-factor-calculator| Name | Type | Required | Description |
|---|---|---|---|
| speedMode | select | Yes | — |
| beta | number | No | — |
| speedMs | number | No | — |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}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-lorentz-factor-calculator": {
"name": "lorentz-factor-calculator",
"description": "γ = 1/√(1−v²/c²) with 1/γ, βγ, and √(1−β²) for any subluminal speed — the single number behind all of special relativity.",
"baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=lorentz-factor-calculator",
"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": "lorentz-factor-calculator",
"arguments": {
"speedMode": "beta",
"beta": 0.99,
"speedMs": 0
}
}
}Questions or issues? Contact [email protected]