Utilities
Predict the Lewis dot structure, valence electrons, central atom, lone pairs, and VSEPR geometry (linear / trigonal / tetrahedral / …) of a covalent molecule.
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/lewis-structure-and-vsepr-predictor' \
-H 'Content-Type: application/json' \
-d '{"formula":"H2O","centralAtom":"e.g. S (defaults to least electronegative non-H)","charge":"0"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/lewis-structure-and-vsepr-predictor| Name | Type | Required | Description |
|---|---|---|---|
| formula | text | Yes | — |
| centralAtom | text | No | — |
| charge | select | No | — |
HTML result
{
"result": "<div>Processed HTML content</div>",
"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-lewis-structure-and-vsepr-predictor": {
"name": "lewis-structure-and-vsepr-predictor",
"description": "Predict the Lewis dot structure, valence electrons, central atom, lone pairs, and VSEPR geometry (linear / trigonal / tetrahedral / …) of a covalent molecule.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=lewis-structure-and-vsepr-predictor",
"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": "lewis-structure-and-vsepr-predictor",
"arguments": {
"formula": "H2O",
"centralAtom": "e.g. S (defaults to least electronegative non-H)",
"charge": "0"
}
}
}Questions or issues? Contact [email protected]