Apache Superset

v0.2.3β€’Analyticsβ€’stable

🐍 ☁️ 🏠 🍎 πŸͺŸ 🐧 - Full-featured Apache Superset MCP server with 135+ tools for dashboards, charts, da

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What is Apache Superset?

Apache Superset is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🐍 ☁️ 🏠 🍎 πŸͺŸ 🐧 - full-featured apache superset mcp server with 135+ tools for dashboards, charts, da

🐍 ☁️ 🏠 🍎 πŸͺŸ 🐧 - Full-featured Apache Superset MCP server with 135+ tools for dashboards, charts, da

This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP protocol support

Use Cases

Dashboard and chart management
Data visualization automation
135+ Superset tools
bintocher

Maintainer

LicenseMIT License
Languagepython
Versionv0.2.3
UpdatedMay 19, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install mcp-superset

Manual Installation

pip install mcp-superset

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Apache Superset

The Apache Superset MCP Server (mcp-superset) provides AI assistants with comprehensive programmatic access to Apache Superset through 137 MCP tools spanning dashboards, charts, databases, datasets, SQL Lab, security, scheduling, and auditing. It authenticates to your Superset instance using standard credentials, then lets AI clients create and publish dashboards, run SQL queries, manage user permissions, schedule reports, and export assets β€” all through natural language. Data analysts and platform engineers use it to automate routine Superset administration and accelerate dashboard development workflows.

Prerequisites

  • Python 3.10 or higher with pip or uv installed
  • A running Apache Superset instance (self-hosted or cloud) with admin credentials
  • Superset Management API accessible over HTTP/HTTPS
  • An MCP-compatible client such as Claude Desktop or Cursor
1

Install mcp-superset

Install the mcp-superset package from PyPI using pip or uv. The uvx command can also run it without a permanent install.

pip install mcp-superset
# or with uv:
uv pip install mcp-superset
2

Set required environment variables

Configure the three required environment variables pointing to your Superset instance. These are used to authenticate every API request.

export SUPERSET_BASE_URL=https://superset.example.com
export SUPERSET_USERNAME=admin
export SUPERSET_PASSWORD=your_password
3

Test the server via stdio

Run the server in stdio mode to confirm it can authenticate to your Superset instance before wiring it up to a client.

mcp-superset --transport stdio
4

Configure your MCP client

Add the server to claude_desktop_config.json. Pass credentials via the env block so the server authenticates automatically on each client startup.

{
  "mcpServers": {
    "superset": {
      "command": "uvx",
      "args": ["mcp-superset", "--transport", "stdio"],
      "env": {
        "SUPERSET_BASE_URL": "https://superset.example.com",
        "SUPERSET_USERNAME": "admin",
        "SUPERSET_PASSWORD": "your_password"
      }
    }
  }
}
5

Restart your MCP client and verify

Restart Claude Desktop. The 137 Superset tools should appear in the connected tools list. Try listing dashboards to confirm connectivity.

Apache Superset Examples

Client configuration

claude_desktop_config.json entry for mcp-superset using uvx with credentials passed as environment variables.

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

Prompts to try

Example prompts for managing Apache Superset through your AI client.

- "List all published dashboards and tell me which ones haven't been viewed in 30 days"
- "Run this SQL query against the production database: SELECT count(*) FROM orders WHERE status='pending'"
- "Create a new bar chart showing monthly revenue from the sales dataset"
- "Add a Row Level Security rule to the orders table that filters by department for the Sales role"
- "Export the 'Executive Summary' dashboard as a ZIP file"

Troubleshooting Apache Superset

Authentication fails with 401 or 403 errors

Verify SUPERSET_USERNAME and SUPERSET_PASSWORD are correct and the user has admin privileges. If using LDAP authentication, set SUPERSET_AUTH_PROVIDER=ldap in your environment.

Destructive operations (delete, permission changes) are blocked

This is by design β€” mcp-superset requires explicit confirmation for destructive operations. When prompted for confirmation by Claude, respond affirmatively to proceed.

SQL Lab queries are blocked with DDL/DML errors

The server blocks DDL (CREATE, DROP, ALTER) and DML (INSERT, UPDATE, DELETE) statements in SQL Lab by default as a safety measure. Use Superset's native SQL Lab UI for schema changes.

Frequently Asked Questions about Apache Superset

What is Apache Superset?

Apache Superset is a Model Context Protocol (MCP) server that 🐍 ☁️ 🏠 🍎 πŸͺŸ 🐧 - full-featured apache superset mcp server with 135+ tools for dashboards, charts, da It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Apache Superset?

Install via pip with: pip install mcp-superset. Then configure your AI client to connect to this MCP server.

Which AI clients work with Apache Superset?

Apache Superset works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Apache Superset free to use?

Yes, Apache Superset is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Apache Superset Alternatives β€” Similar Analytics Servers

Looking for alternatives to Apache Superset? Here are other popular analytics servers you can use with Claude, Cursor, and VS Code.

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Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-superset": { "command": "pip", "args": ["install", "mcp-superset"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide β†’

Ready to use Apache Superset?

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