cortex-scout vs memory

Side-by-side comparison to help you pick between these two MCP servers.

	cortex-scout by cortex-works	memory by modelcontextprotocol
Stars	★ 65	★ 85,748
30d uses	—	—
Score	46	77
Official	—	✓
Categories	Browser AutomationWeb ScrapingAI / LLM Tools	Knowledge GraphAI / LLM ToolsProductivity
Language	Rust	TypeScript
Last commit	1 mo ago	this month

cortex-scout · Summary

Unified web extraction and stateful automation engine for AI agents with MCP integration.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

cortex-scout · Use cases

AI agents requiring token-efficient web retrieval with anti-bot handling
Automated testing workflows replacing heavy frameworks like Playwright
Research systems needing deep multi-hop search and extraction

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

cortex-scout · Install

Installation

Option A — Prebuilt binaries

Download the latest release assets from GitHub Releases:

cortex-scout-mcp — MCP stdio server (recommended for VS Code/Cursor/Claude Desktop)
cortex-scout — optional HTTP server

Option B — Build from source

Install protoc first, then:

git clone https://github.com/cortex-works/cortex-scout.git
cd cortex-scout
cargo build --release --manifest-path mcp-server/Cargo.toml --bin cortex-scout-mcp

Claude Desktop Integration

Add to your Claude Desktop config:

{
  "mcpServers": {
    "cortex-scout": {
      "command": "env",
      "args": [
        "RUST_LOG=warn",
        "CORTEX_SCOUT_TOOL_TIMEOUT_SECS=90",
        "/path/to/cortex-scout-mcp"
      ]
    }
  }
}

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"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.