Data Processing
Create an object from keys and values using lodash _.zipObject
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/zip-object' \
-H 'Content-Type: application/json' \
-d '{"keys":"[\"id\", \"name\"]","values":"[1, \"Ada\"]"}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/zip-object| Name | Type | Required | Description |
|---|---|---|---|
| keys | textarea | Yes | Enter a JSON array of keys |
| values | textarea | Yes | Enter a JSON array of values |
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-zip-object": {
"name": "zip-object",
"description": "Create an object from keys and values using lodash _.zipObject",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=zip-object",
"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": "zip-object",
"arguments": {
"keys": "[\"id\", \"name\"]",
"values": "[1, \"Ada\"]"
}
}
}Questions or issues? Contact [email protected]