• STRUCTURED
  • IDENTIFIED
  • FILTERED
  • HUMAN

How to parse server access logs with your AI

Connect this MCP once to give your agent the ability to decode complex User-Agent strings. It turns raw text into clean, actionable data.

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Short answer

How do I turn User-Agent strings into JSON?

Your agent uses the parse_ua tool to break down raw strings into structured objects. You'll get organized data containing browser, OS, and device details. This breakdown shows you exactly what your agent produces.

Data outcomes

Where your data lands.

The AI converts raw log entries into these specific formats.

STRUCTURED

Clean JSON objects

The agent uses parse_ua to output valid JSON. You get a predictable schema for every string you feed it.

IDENTIFIED

Device and OS details

The AI extracts the specific operating system and hardware type. This makes it easy to see what devices your users actually use.

FILTERED

Browser intelligence

The agent pulls out the browser name and version. You can use this to spot outdated clients or specific bot traffic.

HUMAN

Manual review needed

The AI cannot fix broken or malformed strings. You'll need to check any logs that don't follow standard formats.

The workflow

What your AI does when the logs arrive.

The agent handles the heavy lifting of string manipulation so you don't have to write regex.

  1. Receive raw strings

    You provide the messy User-Agent lines from your access logs to the agent.

    parse_ua

  2. Deconstruct the string

    The agent runs the parse_ua tool to isolate the browser, engine, and device info.

    parse_ua

  3. Format as JSON

    The agent organizes the extracted pieces into a structured JSON object.

    parse_ua

  4. Deliver results

    The agent presents the structured data back to you in your chat interface.

    parse_ua

Try it

Copy these to start.

Use these prompts to begin parsing immediately.

Starting points

Replace the bracketed text with your actual log data or file paths.

UA Parser Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_CYDiD9rpVXhsCSMbLyFLoKQocYhL1QQEwiF1DwU0/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — UA Parser capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "user-agent-parser-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_CYDiD9rpVXhsCSMbLyFLoKQocYhL1QQEwiF1DwU0/mcp"
    }
  }
}
Copy into chat04

  • Parse this User-Agent string into JSON: [paste string here]

  • Look at the logs in my access.log file and extract the device types.

  • Convert these five User-Agent strings into a structured list: [paste strings]

  • Analyze the browser versions in this log snippet and tell me which ones are outdated.

  • Claude
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  • Cursor
  • VS Code
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  • Claude Code
  • JetBrains
  • Cline

Start here

Connect User-Agent Parser once, then ask.

Just click the link to connect the MCP to your client. Your credentials stay encrypted, and you can start parsing right away.

Connect User-Agent Parser to your AI

FAQ

How this task behaves.

  • 01

    Can the AI fix a completely broken User-Agent string?

    No. The tool parses existing data; it cannot repair or guess information that isn't present in the string.

  • 02

    Will the AI change my original log files?

    No. The agent only reads the strings you provide. It has no permission to modify or delete your local files.

  • 03

    What kind of output do I get?

    You get structured JSON objects containing the browser, version, operating system, and device type.

  • 04

    Can I parse thousands of lines at once?

    Yes, as long as you provide the data within the context limits of your AI client.

  • 05

    Does this work with any log format?

    The tool specifically targets User-Agent strings. You should extract the string from your log line before asking the agent to parse it.

  • More questions about User-Agent Parser? The Connector page answers them. See everything the User-Agent Parser Connector can do

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