mcp-superset vs memory

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

	mcp-superset by bintocher	memory by modelcontextprotocol
Stars	★ 36	★ 85,748
30d uses	—	—
Score	47	77
Official	—	✓
Categories	Developer ToolsDatabaseProductivity	Knowledge GraphAI / LLM ToolsProductivity
Language	Python	TypeScript
Last commit	1 mo ago	this month

mcp-superset · Summary

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

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

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

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

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"
      }
    }
  }
}

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

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