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stacklit vs filesystem

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

stacklit
by glincker
filesystem
by modelcontextprotocol
Stars★ 81★ 85,748
30d uses
Score4677
Official
Categories
Developer ToolsAI / LLM ToolsOther
File SystemDeveloper ToolsProductivity
LanguageGoTypeScript
Last committhis monththis month

stacklit · Summary

Stacklit provides an MCP server that scans codebases to generate compact indexes for AI coding assistants.

filesystem · Summary

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

stacklit · Use cases

  • Provide AI coding assistants with instant codebase context without overwhelming context windows
  • Automatically configure Claude Code, Cursor, and Aider with codebase indexes
  • Generate visual dependency maps and navigation aids for complex projects

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

stacklit · Install

Install Stacklit

npm install -g stacklit              # install globally
stacklit init                        # scan codebase
stacklit serve                       # start MCP server

Configure Claude Desktop with MCP:

{
  "mcpServers": {
    "stacklit": {
      "command": "stacklit",
      "args": ["serve"]
    }
  }
}

Configure Claude Code:

stacklit setup claude                # updates CLAUDE.md + .mcp.json

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.