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robot_MCP vs filesystem

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

robot_MCP
by IliaLarchenko
filesystem
by modelcontextprotocol
Stars★ 78★ 85,748
30d uses
Score4277
Official
Categories
AI / LLM ToolsDeveloper ToolsOther
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit9 mo agothis month

robot_MCP · Summary

MCP server for controlling SO-ARM100 robots through LLM agents with manual keyboard control option.

filesystem · Summary

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

robot_MCP · Use cases

  • Enabling AI agents to control robots through natural language commands
  • Providing manual robot control via keyboard interface
  • Creating multimodal AI applications with robot vision capabilities

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

robot_MCP · Install

Installation

  1. Create and activate a virtual environment:
python -m venv .venv
source .venv/bin/activate  # or .venv\Scripts\activate on Windows
  1. Install dependencies:
pip install -r requirements.txt
  1. Update config.py with your robot connection parameters
  1. For Claude Desktop, add to your configuration:
{
  "mcpServers": {
    "SO-ARM100 robot controller": {
      "command": "/path/to/.venv/bin/python",
      "args": ["/path/to/mcp_robot_server.py"]
    }
  }
}

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.