MCP Catalogs
Home

filesystem vs superlocalmemory

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

filesystem
by modelcontextprotocol
superlocalmemory
by qualixar
Stars★ 85,748★ 150
30d uses
Score7750
Official
Categories
File SystemDeveloper ToolsProductivity
AI / LLM ToolsDeveloper ToolsProductivity
LanguageTypeScriptPython
Last committhis monththis month

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

superlocalmemory · Summary

A local-only AI memory system with MCP integration for unlimited memory across AI clients.

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

superlocalmemory · Use cases

  • Enhancing AI coding assistants like Claude Code, Cursor, and Windsurf with persistent memory across sessions
  • Building private, on-device AI agents with unlimited memory that never send data to cloud services
  • Creating research applications requiring GDPR/EU AI Act compliance with no external data transmission

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

superlocalmemory · Install

Install via npm (recommended)

npm install -g superlocalmemory
slm setup     # Choose mode (A/B/C)
slm doctor    # Verify everything is working
slm warmup    # Pre-download embedding model (~500MB, optional)

Install via pip

pip install superlocalmemory

MCP Integration (Claude, Cursor, Windsurf, VS Code, etc.)

{
  "mcpServers": {
    "superlocalmemory": {
      "command": "slm",
      "args": ["mcp"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.