webfetch-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
webfetch-mcp by manooll | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 26 | ★ 85,748 |
| 30d uses | — | — |
| Score | 41 | 77 |
| Official | — | ✓ |
| Categories | Web ScrapingSearchAI / LLM Tools | Knowledge GraphAI / 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.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
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
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
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"
}
}
}
}memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}