notebooklm-skill vs filesystem

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

	notebooklm-skill by claude-world	filesystem by modelcontextprotocol
Stars	★ 209	★ 85,748
30d uses	—	—
Score	49	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsProductivity	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	1 mo ago	this month

notebooklm-skill · Summary

MCP server connecting NotebookLM research with Claude content creation across multiple platforms.

filesystem · Summary

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

notebooklm-skill · Use cases

Research-to-article workflow using academic papers and web sources
Trending topic discovery to social media content generation
Batch processing RSS feeds to newsletter digests
Creating educational materials (quizzes, flashcards, study guides) from research

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

notebooklm-skill · Install

Installation

**Option A: Using uvx (recommended - zero install)**

uvx --from notebooklm-skill notebooklm-mcp  # Start MCP server

**Option B: Using pip**

pip install notebooklm-skill
notebooklm-mcp  # Start MCP server

**Option C: From source**

git clone https://github.com/claude-world/notebooklm-skill.git
cd notebooklm-skill && pip install .

**Claude Desktop Configuration** Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "notebooklm": {
      "command": "uvx",
      "args": ["--from", "notebooklm-skill", "notebooklm-mcp"]
    }
  }
}

**Authentication**

# One-time login (opens Chromium, sign in with Google)
uvx notebooklm login
# or: python3 -m notebooklm login

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.