Data Processing
Comprehensive missing value detection, analysis, and intelligent handling with multiple strategies
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/missing-value-handler' \
-H 'Content-Type: application/json' \
-d '{"dataInput":"Enter your tabular data (CSV or tab-separated)\n\nExample:\nName,Age,Salary,Department\nJohn,25,50000,IT\nJane,,45000,HR\nBob,30,,Finance\nAlice,28,52000,\nCharlie,35,60000,IT","dataFormat":"csv","missingValueIndicators":"Enter values that should be treated as missing (one per line)\n\nCommon indicators:\n(empty cell)\nnull\nNULL\nN/A\nna\n#N/A\n-999\nMissing","outputFormat":"detailed"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/missing-value-handler| Name | Type | Required | Description |
|---|---|---|---|
| dataInput | textarea | Yes | — |
| dataFormat | select | Yes | — |
| missingValueIndicators | textarea | No | Additional strings to treat as missing values (besides empty cells) |
| outputFormat | select | Yes | — |
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-missing-value-handler": {
"name": "missing-value-handler",
"description": "Comprehensive missing value detection, analysis, and intelligent handling with multiple strategies",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=missing-value-handler",
"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": "missing-value-handler",
"arguments": {
"dataInput": "Enter your tabular data (CSV or tab-separated)\n\nExample:\nName,Age,Salary,Department\nJohn,25,50000,IT\nJane,,45000,HR\nBob,30,,Finance\nAlice,28,52000,\nCharlie,35,60000,IT",
"dataFormat": "csv",
"missingValueIndicators": "Enter values that should be treated as missing (one per line)\n\nCommon indicators:\n(empty cell)\nnull\nNULL\nN/A\nna\n#N/A\n-999\nMissing",
"outputFormat": "detailed"
}
}
}Questions or issues? Contact [email protected]