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Glee vs filesystem

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

Glee
by GleeMCP
filesystem
by modelcontextprotocol
Stars★ 3★ 85,748
30d uses
Score3577
Official
Categories
Developer ToolsAI / LLM ToolsProductivity
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit4 mo agothis month

Glee · Summary

Glee is an MCP toolkit providing memory, code review, and context tools for developers to enhance Claude's capabilities.

filesystem · Summary

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

Glee · Use cases

  • Adding persistent project memory that survives across Claude sessions
  • Automatically reviewing code with configurable AI reviewers
  • Managing project context with session hooks
  • Performing Git forensics and change analysis

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

Glee · Install

# Install using uv
uv tool install glee --python 3.13

# Or using pipx
pipx install glee-code

# Initialize for Claude Code
glee init claude

# Restart Claude Code to complete setup

For Claude Desktop, add to your config.json:

{
  "mcpServers": {
    "glee": {
      "command": "glee",
      "args": ["mcp"]
    }
  }
}

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.