Google-Search-MCP vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
Google-Search-MCP by kongyo2 | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 3 | ★ 85,748 |
| 30d uses | — | — |
| Score | 33 | 76 |
| Official | — | ✓ |
| Categories | SearchWeb ScrapingDeveloper Tools | Web ScrapingAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 9 mo ago | this month |
Google-Search-MCP · Summary
Experimental MCP server for enhanced Google search with advanced anti-detection features.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
Google-Search-MCP · Use cases
- Information retrieval for research and analysis using complex search queries
- Web scraping tasks requiring Google search results with custom parameters
- Automation workflows needing search functionality with anti-blocking measures
fetch · Use cases
- LLMs reading news articles and blogs
- Content analysis of web pages
- Retrieving information from public websites
- Chunked reading of large web documents
Google-Search-MCP · Install
Installation
Installing via Smithery
To install google-search-mcp for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@kongyo2/google-search-mcp):
npx -y @smithery/cli install @kongyo2/google-search-mcp --client claudeManual Installation
npm installConfiguration with Claude Desktop
Add this configuration to your Claude Desktop MCP settings:
{
"mcpServers": {
"enhanced-google-search": {
"command": "npx",
"args": ["tsx", "/path/to/your/project/src/server.ts"]
}
}
}fetch · Install
Installation
**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:
uvx mcp-server-fetch**Using PIP** Install via pip:
pip install mcp-server-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}