NerdyData
Search websites by source code, technology stack, analyze domains, and download lead lists.
What is NerdyData?
NerdyData is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to search websites by source code, technology stack, analyze domains, and download lead lists.
Search websites by source code, technology stack, analyze domains, and download lead lists.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Search websites by source code, technology stack, analyze do
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @nerdydata/mcpManual Installation
npx -y @nerdydata/mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about NerdyData
What is NerdyData?
NerdyData is a Model Context Protocol (MCP) server that search websites by source code, technology stack, analyze domains, and download lead lists. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install NerdyData?
Install via npm with the command: npx -y @nerdydata/mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with NerdyData?
NerdyData works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is NerdyData free to use?
Yes, NerdyData is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up NerdyData in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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