mcp-server vs filesystem

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

	mcp-server by keboola	filesystem by modelcontextprotocol
Stars	★ 84	★ 85,748
30d uses	—	—
Score	46	77
Official	—	✓
Categories	DatabaseDeveloper ToolsProductivity	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

mcp-server · Summary

Keboola MCP Server bridges AI agents with Keboola platform, exposing data, SQL queries, and job triggers as MCP tools.

filesystem · Summary

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

mcp-server · Use cases

AI agents access and query Keboola data tables directly using MCP tools
Natural language creation of SQL transformations within AI assistants
Building automated data workflows triggered by AI agents

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-server · Install

Installation

Remote MCP Server (Recommended)

Navigate to your Keboola Project Settings → MCP Server tab
Copy the server URL (format: https://mcp.<YOUR_REGION>.keboola.com/mcp)
Configure your AI assistant with the URL
Authenticate with your Keboola account

Claude Desktop Integration

{
  "mcpServers": {
    "keboola": {
      "command": "http",
      "args": ["https://mcp.<YOUR_REGION>.keboola.com/mcp"]
    }
  }
}

Local Development

Install Python 3.10+ and uv
Clone the repository
Set environment variables:

- KBC_STORAGE_TOKEN - KBC_STORAGE_API_URL - KBC_WORKSPACE_SCHEMA - Optional: KBC_BRANCH_ID

Start the server:

``bash python -m mcp_server --transport <stdio|streamable-http> ``

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.