browser-use-mcp-server vs memory
Side-by-side comparison to help you pick between these two MCP servers.
browser-use-mcp-server by kontext-security | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 822 | ★ 85,748 |
| 30d uses | — | — |
| Score | 49 | 77 |
| Official | — | ✓ |
| Categories | Browser AutomationWeb ScrapingAI / LLM Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 10 mo ago | this month |
browser-use-mcp-server · Summary
MCP server enabling AI agents to control web browsers with browser-use.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
browser-use-mcp-server · Use cases
- Automating web scraping for data collection
- AI agents performing website testing and validation
- Enabling AI to research and analyze online content
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
browser-use-mcp-server · Install
Installation
Prerequisites
- uv - Fast Python package manager
- Playwright - Browser automation
- mcp-proxy - Required for stdio mode
# Install prerequisites
curl -LsSf https://astral.sh/uv/install.sh | sh
uv tool install mcp-proxy
uv tool update-shellEnvironment
Create a .env file with:
OPENAI_API_KEY=your-api-key
CHROME_PATH=optional/path/to/chrome
PATIENT=falseInstall dependencies
uv sync
uv pip install playwright
uv run playwright install --with-deps --no-shell chromiumClaude Desktop Configuration
{
"mcpServers": {
"browser-server": {
"command": "browser-use-mcp-server",
"args": [
"run",
"server",
"--port",
"8000",
"--stdio",
"--proxy-port",
"9000"
],
"env": {
"OPENAI_API_KEY": "your-api-key"
}
}
}
}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"]
}
}
}