How to Use the User-Agent Parser MCP in Cursor

Q: How is this MCP Server used in Cursor's Agent mode?

The agent calls parseua when it needs client context, feeding the tool a raw UA string. The resulting structured JSON then becomes live data that the AI uses to generate working code.

Get live client specs right into your code using the User-Agent Parser with Cursor.

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Connect User-Agent Parser MCP to Cursor

Create your Vinkius account to connect User-Agent Parser to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup User-Agent Parser with Cursor

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Inject accurate client context into code

Mid-coding, you'll hit a log file that needs parsing. Instead of leaving Cursor to guess, call `parse_ua`. You pass the raw UA string and immediately get structured JSON detailing the Browser, OS, and Device. Your AI agent can then use this live data—the exact specs—to generate working code that assumes correct client context. No more mock stubs.

Validate API calls with User-Agent Parser

The `parse_ua` tool lets you decode raw HTTP User-Agent strings directly within your project scope. It pulls out the Browser, OS, and Device type into structured JSON objects. This is crucial for building endpoints that need to know exactly who's calling them. You get reliable client identification without having to write complex regex or assume anything.

Improve Agent mode functionality in Cursor

Cursor’s Agent mode can call `parse_ua` when it encounters a log file. It takes the messy UA string and returns clean, structured JSON for Browser, OS, and Device identification. This lets the AI generate code that handles specific client types accurately. You're not just writing code; you're building context-aware systems.

Setup guide

Set up User-Agent Parser MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the User-Agent Parser MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent User-Agent Parser transactions." If the MCP tools are loaded correctly, Cursor will call the User-Agent Parser tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "user-agent-parser-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UA Parser. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about User-Agent Parser MCP in Cursor

Yes, definitely. If your project encounters a log file with an unknown UA string, the `parse_ua` tool instantly parses it into Browser, OS, and Device specs. This live data is then injected directly into your code for debugging.

It provides structured JSON detailing the Browser, Operating System (OS), and Device type. It takes raw HTTP User-Agent strings as input to give you accurate client identification.

The agent calls `parse_ua` when it needs client context, feeding the tool a raw UA string. The resulting structured JSON then becomes live data that the AI uses to generate working code.

It requires the raw User-Agent string, which you'll find in HTTP headers or server logs. That’s all it needs to spit out structured JSON for client identification.

The server processes raw HTTP User-Agent strings and outputs structured Browser, OS, and Device specifications. This metadata is necessary for accurate client context in your code.

Use it with your favorite AI tools

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