Whodis
A Model Context Protocol server that enables AI assistants to check domain name availability using WHOIS lookups.
What is Whodis?
Whodis is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to model context protocol server that enables ai assistants to check domain name availability using whois lookups.
A Model Context Protocol server that enables AI assistants to check domain name availability using WHOIS lookups.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Model Context Protocol server that enables AI assistants t
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx whodis-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Whodis
What is Whodis?
Whodis is a Model Context Protocol (MCP) server that model context protocol server that enables ai assistants to check domain name availability using whois lookups. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Whodis?
Follow the installation instructions on the Whodis GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Whodis?
Whodis works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Whodis free to use?
Yes, Whodis is open source and available under the ISC License 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 Whodis 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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