webfetch-mcp vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
webfetch-mcp by manooll | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 26 | ★ 85,748 |
| 30d uses | — | — |
| Score | 41 | 76 |
| Official | — | ✓ |
| Categories | Web ScrapingSearchAI / LLM Tools | Web ScrapingAI / LLM ToolsProductivity |
| Language | JavaScript | TypeScript |
| Last commit | 7 mo ago | this month |
webfetch-mcp · Summary
An MCP server providing real-time web access with tunable search and clean content extraction for local AI models.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
webfetch-mcp · Use cases
- Research assistants accessing the latest academic papers and technical documentation
- Local AI models staying current with news and real-time information
- Content extraction for analysis while filtering out ads and navigation elements
- Scientific research across multiple specialized databases with targeted queries
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
webfetch-mcp · Install
Installation
Prerequisites
- Node.js 18+
- Docker & Docker Compose
- SearxNG instance
Steps
- Install SearxNG:
git clone https://github.com/searxng/searxng-docker.git
cd searxng-docker
sed -i "s|ultrasecretkey|$(openssl rand -hex 32)|g" searxng/settings.yml
docker compose up -d- Install WebFetch.MCP:
git clone https://github.com/manull/webfetch-mcp.git
cd webfetch-mcp
npm install
node server.mjs- Configure in LM Studio or Claude Desktop:
{
"mcpServers": {
"webfetch": {
"command": "node",
"args": ["/full/path/to/webfetch-mcp/server.mjs"],
"env": {
"SEARXNG_BASE": "http://localhost:8080"
}
}
}
}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"]
}
}
}