Development
Convert JSON data into Kotlin data classes with @SerializedName annotations, nullable handling, and nested type inference
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/json-to-kotlin' \
-H 'Content-Type: application/json' \
-d '{"jsonInput":"{\n \"name\": \"Alice\",\n \"age\": 30,\n \"roles\": [\"admin\", \"user\"],\n \"address\": {\n \"city\": \"Shanghai\",\n \"zip\": \"200000\"\n }\n}","rootName":"Root","optionalFields":false}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/json-to-kotlin| Name | Type | Required | Description |
|---|---|---|---|
| jsonInput | textarea | Yes | — |
| rootName | text | No | — |
| optionalFields | checkbox | 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-json-to-kotlin": {
"name": "json-to-kotlin",
"description": "Convert JSON data into Kotlin data classes with @SerializedName annotations, nullable handling, and nested type inference",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=json-to-kotlin",
"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": "json-to-kotlin",
"arguments": {
"jsonInput": "{\n \"name\": \"Alice\",\n \"age\": 30,\n \"roles\": [\"admin\", \"user\"],\n \"address\": {\n \"city\": \"Shanghai\",\n \"zip\": \"200000\"\n }\n}",
"rootName": "Root",
"optionalFields": false
}
}
}Questions or issues? Contact [email protected]