fetch vs google-search
Side-by-side comparison to help you pick between these two MCP servers.
fetch by modelcontextprotocol | google-search by web-agent-master | |
|---|---|---|
| Stars | ★ 85,748 | ★ 595 |
| 30d uses | — | — |
| Score | 76 | 45 |
| Official | ✓ | — |
| Categories | Web ScrapingAI / LLM ToolsProductivity | SearchWeb ScrapingBrowser Automation |
| Language | TypeScript | TypeScript |
| Last commit | this month | 14 mo ago |
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
google-search · Summary
Playwright-based Google search tool with MCP server integration that bypasses anti-bot detection.
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 · Use cases
- Enabling AI assistants to perform real-time Google searches without API keys
- Providing a local alternative to paid SERP APIs for developers and researchers
- Facilitating web scraping and data extraction from Google search results
- Supporting AI applications that need current web information and real-time search capabilities
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"]
}
}
}google-search · Install
# Install from source
git clone https://github.com/web-agent-master/google-search.git
cd google-search
# Install dependencies
npm install
# Compile TypeScript code
npm run build
# Link package globally (required for MCP functionality)
npm linkFor Claude Desktop integration:
{
"mcpServers": {
"google-search": {
"command": "npx",
"args": ["google-search-mcp"]
}
}
}