superset
bintocher/mcp-superset
Apache Superset: dashboards, charts, datasets, SQL Lab, security (users, roles, RLS, groups) and permissions audit, with built-in safety validations.
- Local integrations
- Cloud integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 59
- Language
- Python
- License
- MIT
- Forks
- 15
- Latest release
- v0.3.12mo ago
- Activity
- updated 1d ago
- Platforms listed
- macOS, Windows, Linux
- ai-tools
- apache-superset
- claude
- fastmcp
- llm
- mcp
- mcp-server
- model-context-protocol
First MCP server?Start with the basics
dbt integration: dbt Core and Cloud CLI, project metadata discovery, model information and semantic layer queries.
Operational ontology reference implementation: tools generated from a typed business domain model, with rule-checked, audited writes to systems of record.
Interact with the Keboola Connection data platform: list and access data from the Keboola Storage API.
Run SQL queries, list jobs and get job status via the Databricks API.
Kafka Schema Registry management across multiple registries, including schema migration.
Brazilian agricultural data: prices, crop estimates, climate and deforestation from public sources including CEPEA, CONAB, IBGE, INPE and B3.
Swiss open data: transport, weather, geodata, companies, parliament and more.
dbt-core (OSS) project metadata, model and column-level lineage, and dbt documentation.