Science & Education
C = k_H·P in three modes with preset 25 °C Henry constants, molar-mass mass readout and atm/kPa/torr pressure.
Call this tool from your code in three languages.
curl -X POST 'http://127.0.0.1:3003/en/api/tools/henry-law-calculator' \
-H 'Content-Type: application/json' \
-d '{"solveFor":"C","gas":"co2","customKH":0,"customMW":0,"pressure":2.5,"pUnit":"atm","concentration":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/henry-law-calculator| Name | Type | Required | Description |
|---|---|---|---|
| solveFor | select | Yes | — |
| gas | select | Yes | — |
| customKH | number | No | — |
| customMW | number | No | — |
| pressure | number | No | — |
| pUnit |
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-henry-law-calculator": {
"name": "henry-law-calculator",
"description": "C = k_H·P in three modes with preset 25 °C Henry constants, molar-mass mass readout and atm/kPa/torr pressure.",
"baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=henry-law-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": "henry-law-calculator",
"arguments": {
"solveFor": "C",
"gas": "co2",
"customKH": 0,
"customMW": 0,
"pressure": 2.5,
"pUnit": "atm",
"concentration": 0
}
}
}Questions or issues? Contact [email protected]
| select |
| Yes |
| — |
| concentration | number | No | — |
Text result
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}