UA Parser Connector for AI agents.
1 live capability
Identify specific browser and device data from raw web logs.
Waiting for input…
Why people use UA Parser
User-Agent Parser for Accurate Log Analysis
This Connector changes that by giving your agent a specialized capability to do the heavy lifting. Instead of guessing, the AI calls the capability to get a structured breakdown of the browser, OS, and device. You get a clean JSON object every time, which means your analysis is actually based on facts.
What Vinkius changes
Your agent gets accurate hardware and software data instead of making lucky guesses.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Security Audit
An analyst asks the agent to find all requests from outdated versions of Internet Explorer.
- Real-world use case 02
Bug Triage
A developer pastes an error log and asks the agent to check if the user is on mobile.
- Real-world use case 03
Traffic Analysis
A dev wants to know the OS distribution of their visitors.
Complete set · 1capability
The complete UA Parser capability set.
These are the exact actions your AI can choose when you ask it to work with UA Parser.
01
1 capability in this set.
Part of 1 available through UA Parser.
- 01 Capability
Parse ua
Pass a raw User-Agent string to get a structured JSON breakdown of the browser, OS, and device. This turns messy log data into usable facts.
Set up in minutes
One URL. Then ask UA Parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use UA Parser from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_CYDiD9rpVXhsCSMbLyFLoKQocYhL1QQEwiF1DwU0/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it UA Parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable UA Parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_CYDiD9rpVXhsCSMbLyFLoKQocYhL1QQEwiF1DwU0/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the UA Parser URL.
- Step 03
Save and start
Save the connection and enable UA Parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"user-agent-parser": {
"url": "https://edge.vinkius.com/vk_preview_CYDiD9rpVXhsCSMbLyFLoKQocYhL1QQEwiF1DwU0/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using UA Parser
Open Agent mode in chat and ask: "Using UA Parser, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"user-agent-parser": {
"url": "https://edge.vinkius.com/vk_preview_CYDiD9rpVXhsCSMbLyFLoKQocYhL1QQEwiF1DwU0/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using UA Parser
Ask Copilot: "Using UA Parser, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"user-agent-parser": {
"url": "https://edge.vinkius.com/vk_preview_CYDiD9rpVXhsCSMbLyFLoKQocYhL1QQEwiF1DwU0/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using UA Parser
Open Cascade and ask: "Using UA Parser, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"user-agent-parser": {
"url": "https://edge.vinkius.com/vk_preview_CYDiD9rpVXhsCSMbLyFLoKQocYhL1QQEwiF1DwU0/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using UA Parser
Ask Cline: "Using UA Parser, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add user-agent-parser --transport http "https://edge.vinkius.com/vk_preview_CYDiD9rpVXhsCSMbLyFLoKQocYhL1QQEwiF1DwU0/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using UA Parser
Ask Claude: "Using UA Parser, show me...". 1 tools are ready
Where the request belongs
Work UA Parser can move forward.
This is for the security analyst who needs to spot bot traffic, the IT support tech hunting for specific OS bugs, and the backend engineer who needs to understand their user base.
Security Analyst
Identifying malicious actors by filtering for specific OS/Browser combinations in firewall logs.
IT Support Specialist
Pinpointing exactly which version of a browser a user is on to replicate a reported bug.
Data Engineer
Cleaning up web traffic logs for accurate analytics dashboards and user distribution reports.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Decodo (Smartproxy)
Manage your Decodo (formerly Smartproxy) network infrastructure. list proxy endpoints, monitor bandwidth, and fetch residential proxy configurations with your AI.
Umami (Privacy Analytics)
Manage your Umami analytics. track events, manage websites, and oversee users directly through your AI agent.
Albacross
B2B intent and reveal intelligence. identify anonymous website visitors and manage leads via AI.
Bring your own AI
Change the model, client or framework. Keep UA Parser connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about UA Parser.
The practical details behind the request, access and result.
What does the User-Agent Parser MCP do?
This Connector takes messy User-Agent strings from your web logs and turns them into clean, structured data. It tells your AI agent exactly what browser, operating system, and device a user is using.
How does this help with security logs?
It helps you identify specific threats by filtering traffic based on actual hardware and software data. You can quickly spot requests from outdated browsers or specific mobile devices that might be targets.
Can it identify specific mobile devices?
Yes, it can distinguish between different types of mobile devices, such as iPhones or Android phones, by parsing the specific details within the User-Agent string.
Will it stop my AI from making mistakes on logs?
Yes, it prevents hallucinations. Instead of the AI guessing what a device is based on a string it doesn't understand, it uses this Connector to get the definitive answer from the data.
What format does it return the data in?
It returns the data as a structured JSON object. This makes it very easy for your AI agent to read, summarize, or use in further calculations.
Is this useful for web development?
It's very useful for developers who need to understand their user base. You can quickly see which browsers and OS versions your visitors are using to prioritize your testing and updates.
Is it accurate for mobile devices?
Yes, it accurately identifies iOS, Android versions, and specific phone models.
Why not use a regex in the LLM prompt?
User-Agents change daily and are heavily obfuscated. A hardcoded regex will fail on newer devices.
Does it identify bots?
Yes, the parser can identify common web crawlers, scrapers, and search engine bots (like Googlebot).
One connection away
Give your agent a direct line to UA Parser.
Connect UA Parser once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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