Science & Education
Λm = κ/c in S·cm²/mol and S·m²/mol, with optional α = Λm/Λ°m and Ka for weak electrolytes.
Call this tool from your code in three languages.
curl -X POST 'http://127.0.0.1:3003/en/api/tools/molar-conductivity' \
-H 'Content-Type: application/json' \
-d '{"kappa":1412,"kappaUnit":"uScm","c":0.01,"cUnit":"M","lambdaLimit":149.9}'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/molar-conductivity| Name | Type | Required | Description |
|---|---|---|---|
| kappa | number | Yes | — |
| kappaUnit | select | Yes | — |
| c | number | Yes | — |
| cUnit | select | Yes | — |
| lambdaLimit | number | 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-molar-conductivity": {
"name": "molar-conductivity",
"description": "Λm = κ/c in S·cm²/mol and S·m²/mol, with optional α = Λm/Λ°m and Ka for weak electrolytes.",
"baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=molar-conductivity",
"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": "molar-conductivity",
"arguments": {
"kappa": 1412,
"kappaUnit": "uScm",
"c": 0.01,
"cUnit": "M",
"lambdaLimit": 149.9
}
}
}Questions or issues? Contact [email protected]
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}