bintocher/mcp-superset
by Various
MCP server for managing Apache Superset — 128+ tools for dashboards, charts, datasets, SQL Lab, access control
MCP
bintocher/mcp-superset
Added 1 June 2026
Overview
An MCP server that exposes 128+ tools for managing Apache Superset, including dashboards, charts, datasets, SQL Lab, and access control. It operates as a Python-based server, enabling AI assistants to interact programmatically with Superset instances.
Best for
Best for
Developers and data teams who want to manage Apache Superset programmatically through AI assistants
Use cases
- Automate dashboard creation and chart configuration via natural language commands
- Manage datasets and SQL Lab queries through an AI assistant
- Programmatically control user permissions and access roles in Superset
Notes
An MCP server that exposes 128+ tools for managing Apache Superset, including dashboards, charts, datasets, SQL Lab, and access control. It operates as a Python-based server, enabling AI assistants to interact programmatically with Superset instances.
42 stars on GitHub. Last updated 2026-04-05. Licensed MIT.
Use cases
- Automate dashboard creation and chart configuration via natural language commands
- Manage datasets and SQL Lab queries through an AI assistant
- Programmatically control user permissions and access roles in Superset
Pros
- Extensive tool coverage with over 128 functions for comprehensive Superset management
- Open source with a permissive license and active community on GitHub
- Direct integration with MCP-compatible AI assistants for streamlined workflows
Cons
- Requires a running Superset instance and network access to function
- Limited to 42 GitHub stars, indicating a small user base and potential for fewer community resources
- Dependency on MCP protocol may restrict use to compatible AI frameworks only
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Extensive tool coverage with over 128 functions for comprehensive Superset management
- Open source with a permissive license and active community on GitHub
- Direct integration with MCP-compatible AI assistants for streamlined workflows
Cons
- Requires a running Superset instance and network access to function
- Limited to 42 GitHub stars, indicating a small user base and potential for fewer community resources
- Dependency on MCP protocol may restrict use to compatible AI frameworks only
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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