Data Processing
Check if a path exists using lodash _.hasIn
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/has-in-path' \
-H 'Content-Type: application/json' \
-d '{"inputData":"{\"user\":{\"name\":\"Ada\"}}","path":"user.name"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/has-in-path| Name | Type | Required | Description |
|---|---|---|---|
| inputData | textarea | Yes | Enter a JSON object or array |
| path | text | Yes | Property path to check |
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-has-in-path": {
"name": "has-in-path",
"description": "Check if a path exists using lodash _.hasIn",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=has-in-path",
"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": "has-in-path",
"arguments": {
"inputData": "{\"user\":{\"name\":\"Ada\"}}",
"path": "user.name"
}
}
}Questions or issues? Contact [email protected]