mcp-server-webscan vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-webscan by bsmi021 | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 12 | ★ 85,748 |
| 30d uses | — | — |
| Score | 37 | 77 |
| Official | — | ✓ |
| Categories | Web ScrapingDeveloper ToolsProductivity | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 10 mo ago | this month |
mcp-server-webscan · Summary
MCP server for web scanning with page fetching, link extraction, crawling, and sitemap generation.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-server-webscan · Use cases
- Content analysis by fetching web pages and converting them to Markdown for easier processing
- Website auditing by extracting links and checking for broken links across pages
- SEO analysis by generating XML sitemaps and discovering site structure through crawling
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
mcp-server-webscan · Install
Installing via Smithery
To install Webscan for Claude Desktop automatically via [Smithery](https://smithery.ai/server/mcp-server-webscan):
npx -y @smithery/cli install mcp-server-webscan --client claudeManual Installation
# Clone the repository
git clone <repository-url>
cd mcp-server-webscan
# Install dependencies
npm install
# Build the project
npm run buildClaude Desktop Configuration
{
"mcpServers": {
"webscan": {
"command": "node",
"args": ["path/to/mcp-server-webscan/build/index.js"],
"env": {
"NODE_ENV": "development",
"LOG_LEVEL": "info"
}
}
}
}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"]
}
}
}