n8n-claw vs filesystem

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

	n8n-claw by freddy-schuetz	filesystem by modelcontextprotocol
Stars	★ 436	★ 85,748
30d uses	—	—
Score	51	77
Official	—	✓
Categories	AI / LLM ToolsProductivityDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Shell	TypeScript
Last commit	this month	this month

n8n-claw · Summary

Self-hosted AI agent using n8n with MCP Skills library, memory management, and expert agents.

filesystem · Summary

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

n8n-claw · Use cases

Personal assistant for task management and reminders
Team collaboration agent with knowledge tracking
Developer tool for building custom API integrations

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

n8n-claw · Install

Installation

Prerequisites

Linux VPS (Ubuntu 22.04/24.04 recommended, 4GB RAM and 15GB Disk minimum)
Telegram Bot Token (from [@BotFather](https://t.me/BotFather))
Your Telegram Chat ID (from [@userinfobot](https://t.me/userinfobot))
LLM API Key (Anthropic, OpenAI, OpenRouter, DeepSeek, Gemini, Mistral, Ollama, or OpenAI-compatible)
Domain name (or use [sslip.io](https://sslip.io))

Setup Steps

git clone https://github.com/freddy-schuetz/n8n-claw.git && cd n8n-claw && ./setup.sh

The script will prompt for:

n8n API Key (generated in n8n UI: Settings → API)
Telegram Bot Token and Chat ID
LLM API Key (choose your provider)
Domain name
Agent personality (name, language, communication style)

Optional features:

Embeddings for semantic memory search
Voice messages (requires Whisper API key)

Claude Desktop Integration

{
  "mcpServers": {
    "n8n-claw": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "n8n-claw-agent", "mcp"],
      "env": {
        "TELEGRAM_BOT_TOKEN": "your-telegram-token",
        "TELEGRAM_CHAT_ID": "your-chat-id",
        "LLM_API_KEY": "your-llm-key",
        "DOMAIN": "your-domain"
      }
    }
  }
}

After setup, send a message to your Telegram bot to start interacting.

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.