filesystem vs MCP-Clinic-Bot

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

	filesystem by modelcontextprotocol	MCP-Clinic-Bot by sankett13
Stars	★ 85,748	★ 4
30d uses	—	—
Score	77	33
Official	✓	—
Categories	File SystemDeveloper ToolsProductivity	AI / LLM ToolshealthcareProductivity
Language	TypeScript	JavaScript
Last commit	this month	10 mo ago

filesystem · Summary

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

MCP-Clinic-Bot · Summary

AI-powered medical chatbot using MCP with Google Gemini, ChromaDB vector search, and React frontend.

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

MCP-Clinic-Bot · Use cases

Medical clinic front desk automation for appointment scheduling
24/7 patient information assistant for healthcare providers
Clinic information retrieval system using vector search

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.

MCP-Clinic-Bot · Install

Installation

Prerequisites

Node.js (v18 or higher)
MongoDB (local or cloud instance)
Google Gemini API key
npm or yarn package manager

Backend Setup

cd backend
npm install

Create a .env file in the backend directory:

GEMINI_API_KEY=your_gemini_api_key
MONGODB_URI=mongodb://localhost:27017/clinic_chatbot
PORT=5000

Frontend Setup

cd frontend/mcp_chatbot
npm install

Start the Application

**Backend:**

cd backend
npm run dev

**Frontend:**

cd frontend/mcp_chatbot
npm run dev

**MCP Server Inspector (Optional):**

cd backend
npm run inspector

For Claude Desktop integration, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "clinic-bot": {
      "command": "node",
      "args": ["backend/mcpServer.js"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.