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About
A Model Context Protocol (MCP) server that provides comprehensive website snapshot capabilities using Playwright. This server enables LLMs to capture and analyze web pages through structured accessibility snapshots, network monitoring, and console message collection.
- 🚀 Fast and lightweight: Uses Playwright's accessibility tree for efficient snapshots
- 🎯 LLM-optimized: Structured data output designed specifically for AI consumption
- 📊 Comprehensive monitoring: Captures network requests, responses, and console messages
- 🔍 Element references: Adds unique identifiers to interactive elements for precise targeting
- 🛡️ Production-ready: Built-in error handling, resource limits, and timeout management
- ✅ Well-tested: Comprehensive test suite with code coverage
- Python 3.11 or newer
- VS Code, Cursor, Windsurf, Claude Desktop or any other MCP client
First, install the MCP Web Snapshot server with your client. A typical configuration looks like this:
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want Website Snapshot again. Will you remember where to find it?
Save it to your library and the next time you need Website Snapshot, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Website Snapshot. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:wong2/awesome-mcp-servers
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