remote-mcp-server-authless-andor vs memory
Side-by-side comparison to help you pick between these two MCP servers.
remote-mcp-server-authless-andor by elizabethsiegle | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 1 | ★ 85,748 |
| 30d uses | — | — |
| Score | 28 | 77 |
| Official | — | ✓ |
| Categories | Web ScrapingBrowser AutomationAI / LLM Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 13 mo ago | this month |
remote-mcp-server-authless-andor · Summary
Remote MCP server for web scraping using Cloudflare Browser Rendering and Workers AI, with no authentication required.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
remote-mcp-server-authless-andor · Use cases
- Extracting content from websites that require browser rendering
- Creating custom AI-powered web scraping tools
- Building remote MCP services without authentication infrastructure
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
remote-mcp-server-authless-andor · Install
Installation
- Deploy to Cloudflare Workers using the button below:
[](https://deploy.workers.cloudflare.com/?url=https://github.com/cloudflare/ai/tree/main/demos/remote-mcp-authless)
- Or use the command line to create the project locally:
npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authless- Connect to Claude Desktop by adding this to your config:
{
"mcpServers": {
"calculator": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:8787/sse"
]
}
}
}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"]
}
}
}