- TRIAGE
- REPORT
- FIX
- HUMAN
Short answer
How can I use AI to decode User-Agent strings?
Your agent uses the detect_user_agent tool to turn raw browser strings into specific hardware, brand, and OS details. This lets you pinpoint exactly which devices are hitting web errors. You'll see the breakdown of how this works below.
Where the data lands.
The outcomes of your analysis.
The AI processes the raw strings and organizes the findings into these categories.
TRIAGE
Error classification
The AI groups errors by OS version or device brand. You get a clear view of which hardware is failing.
REPORT
Device summaries
The agent compiles a list of active device profiles from your logs. This shows you the real-world distribution of your users.
FIX
Targeted debugging
The AI identifies specific browser or OS mismatches. You get the details needed to adjust your CSS or JS for those devices.
HUMAN
Manual verification
The AI flags edge cases where the User-Agent is too ambiguous to decode. You decide how to handle these outliers.
The workflow
What your AI does when a User-Agent arrives.
The agent handles the heavy lifting of parsing and interpreting the raw text.
Parse the string
The agent takes a raw User-Agent string and breaks it down into its component parts.
detect_user_agentIdentify hardware
The AI extracts the specific device brand and model from the parsed data.
detect_user_agentIsolate the OS
The agent pulls out the operating system and version number to find compatibility issues.
detect_user_agentSummarize findings
The AI presents a clean summary of the device profile for your review.
detect_user_agent
Try it
Copy these to start.
Use these prompts to begin debugging immediately.
Starting points
Replace the bracketed text with your actual data, like a specific log entry or a single string.
UserStack Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_C73gpXQc76w4GftWbngd8wPaY3sHJgU9EsWqwUY7/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — UserStack capabilities are ready to use.
{
"mcpServers": {
"userstack-user-agent-lookup-mcp": {
"url": "https://edge.vinkius.com/vk_preview_C73gpXQc76w4GftWbngd8wPaY3sHJgU9EsWqwUY7/mcp"
}
}
}Decode this User-Agent string for me: [paste string]
Look at the device logs in my [channel name] and tell me which OS versions are most common.
Analyze the User-Agent data in [repo name] to find why mobile users are seeing this error.
Summarize the hardware profiles found in this [sheet name] log.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect UserStack User-Agent Lookup once, then ask.
Just click to connect. Your credentials stay encrypted, and you can immediately start asking your agent to parse strings.
Connect UserStack User-Agent Lookup to your AIFAQ
How this task behaves.
- 01
Can the AI fix the code for me?
No. The AI identifies the device and OS causing the issue, but you must write and deploy the code fixes yourself.
- 02
Does the AI change my original logs?
No. The AI only reads the data provided to it. It never modifies your logs, repos, or sheets.
- 03
Can it detect any device?
It can decode any standard User-Agent string that follows common browser formatting.
- 04
What if the User-Agent is empty?
If the string is empty or invalid, the tool will return no data, and the AI will tell you it cannot identify the device.
- 05
Does it work with my existing logs?
Yes, as long as you can provide the text or the file path to your agent.
More questions about UserStack User-Agent Lookup? The Connector page answers them. See everything the UserStack User-Agent Lookup Connector can do
Connect UserStack to Claude, Cursor, ChatGPT & more
