Development
Parse and analyze User-Agent strings to extract browser, operating system, device, and engine information
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/user-agent-parser' \
-H 'Content-Type: application/json' \
-d '{"userAgent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36","detailedOutput":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/user-agent-parser| Name | Type | Required | Description |
|---|---|---|---|
| userAgent | text | Yes | — |
| detailedOutput | checkbox | 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-user-agent-parser": {
"name": "user-agent-parser",
"description": "Parse and analyze User-Agent strings to extract browser, operating system, device, and engine information",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=user-agent-parser",
"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": "user-agent-parser",
"arguments": {
"userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36",
"detailedOutput": false
}
}
}Questions or issues? Contact [email protected]