metabase-mcp vs filesystem

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

	metabase-mcp by hluaguo	filesystem by modelcontextprotocol
Stars	★ 64	★ 85,748
30d uses	—	—
Score	47	77
Official	—	✓
Categories	DatabaseAI / LLM ToolsDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	1 mo ago	this month

metabase-mcp · Summary

Metabase MCP server enables AI assistants to query databases, execute SQL, and manage dashboards through Metabase API.

filesystem · Summary

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

metabase-mcp · Use cases

Natural language database queries using AI assistants
Automated report generation and dashboard management
SQL query assistance and optimization through AI

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

metabase-mcp · Install

Installation

Option 1: Using uvx (Easiest - No Installation Required)

# Run directly without installing (like npx for Python)
uvx metabase-mcp

# With environment variables
METABASE_URL=https://your-instance.com METABASE_API_KEY=your-key uvx metabase-mcp

Option 2: Install from PyPI

# Install globally
uv tool install metabase-mcp

# Or with pip
pip install metabase-mcp

# Then run
metabase-mcp

Claude Desktop Integration

Add this to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
    "mcpServers": {
        "metabase-mcp": {
            "command": "uvx",
            "args": ["metabase-mcp"],
            "env": {
                "METABASE_URL": "https://your-metabase-instance.com",
                "METABASE_API_KEY": "your-api-key-here"
            }
        }
    }
}

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.