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mcp-superset vs filesystem

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

mcp-superset
by bintocher
filesystem
by modelcontextprotocol
Stars★ 36★ 85,748
30d uses
Score4777
Official
Categories
Developer ToolsDatabaseProductivity
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit1 mo agothis month

mcp-superset · Summary

A comprehensive MCP server with 137 tools for managing Apache Superset dashboards, charts, datasets, and security features.

filesystem · Summary

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

mcp-superset · Use cases

  • Automating dashboard creation and management for business intelligence teams
  • Managing user access and permissions across large Superset deployments
  • Extracting data from charts and datasets for reporting and analysis
  • Automating database connection management and validation
  • Implementing comprehensive row-level security policies

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-superset · Install

Installation

# From PyPI
pip install mcp-superset

# With uv (recommended)
uv pip install mcp-superset

# Run without installing
uvx mcp-superset

Configuration

Create a .env file with your Superset credentials:

SUPERSET_BASE_URL=https://superset.example.com
SUPERSET_USERNAME=admin
SUPERSET_PASSWORD=your_password

Running

# Using CLI
mcp-superset

# With stdio transport (for Claude Desktop, etc.)
mcp-superset --transport stdio

Claude Desktop Configuration

{
  "mcpServers": {
    "superset": {
      "command": "uvx",
      "args": ["mcp-superset", "--transport", "stdio"],
      "env": {
        "SUPERSET_BASE_URL": "https://superset.example.com",
        "SUPERSET_USERNAME": "admin",
        "SUPERSET_PASSWORD": "your_password"
      }
    }
  }
}

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.