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mie vs filesystem

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

mie
by kraklabs
filesystem
by modelcontextprotocol
Stars★ 42★ 85,748
30d uses
Score4677
Official
Categories
Knowledge GraphDeveloper ToolsAI / LLM Tools
File SystemDeveloper ToolsProductivity
LanguageGoTypeScript
Last commit2 mo agothis month

mie · Summary

MIE is a persistent memory graph MCP server that enables AI agents to share and recall knowledge across sessions.

filesystem · Summary

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

mie · Use cases

  • Cross-agent knowledge sharing between different AI platforms
  • Persistent memory for AI agents working on long-term projects
  • Structured knowledge capture for technical decisions and context

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

mie · Install

Install MIE using Homebrew:

brew tap kraklabs/mie
brew install mie

Initialize with:

mie init                    # Quick setup with defaults
mie init --interview        # Interactive setup

Configure as MCP server in Claude Desktop (.mcp.json):

{
  "mcpServers": {
    "mie": {
      "command": "mie",
      "args": ["--mcp"]
    }
  }
}

The MCP server will start automatically when needed.

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.

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