Superset
The Superset MCP Integration provides AI assistants with programmatic access to Apache Superset's data visualization and analytics capabilities through a comprehensive set of tools. Built with Python using FastMCP, it enables operations like dashboard management, chart creation, SQL query execution, and database administration via authenticated API calls. The implementation handles token management, automatic refreshing, and proper error handling to maintain secure connections with Superset instances. It's particularly valuable for users who want to leverage AI assistants to explore data, create visualizations, and manage analytics workflows without leaving their conversational interface.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/aptro/superset-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Superset from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.