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About
[](https://smithery.ai/server/@mnhlt/WebSearch-MCP)
A Model Context Protocol (MCP) server implementation that provides a web search capability over stdio transport. This server integrates with a WebSearch Crawler API to retrieve search results.
- About
- Installation
- Configuration
- Setup & Integration
- Setting Up the Crawler Service
- Prerequisites
- Starting the Crawler Service
- Testing the Crawler API
- Custom Configuration
- Integrating with MCP Clients
- Quick Reference: MCP Configuration
- Claude Desktop
- Cursor IDE
- Cline
- Usage
- Parameters
- Example Search Response
- Testing Locally
- As a Library
- Troubleshooting
- Crawler Service Issues
- MCP Server Issues
- Development
- Project Structure
- Publishing to npm
- Contributing
- License
WebSearch-MCP is a Model Context Protocol server that provides web search capabilities to AI assistants that support MCP. It allows AI models like Claude to search the web in real-time, retrieving up-to-date information about any topic.
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 WebSearch-MCP again. Will you remember where to find it?
Save it to your library and the next time you need WebSearch-MCP, 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. WebSearch-MCP. 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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