Full-featured MCP server for Apache Superset with 128+ tools
Best for Automating the creation and deployment of BI dashboards for new projects.
A comprehensive Model Context Protocol (MCP) server for Apache Superset. Gives AI assistants (Claude, GPT, etc.) full control over your Superset instance — dashboards, charts, datasets, SQL Lab, users, roles, RLS, and more — through 128+ tools.
What it does
- 128+ MCP tools covering the complete Superset REST API
- Full security management including users, roles, RLS, and groups
- Built-in safety validations with confirmation flags and DDL/DML blocking
- Dashboard native filter management and automatic datasource access synchronization
- Support for multiple transport options including HTTP, SSE, and stdio
Setup requirements
Requires 3 environment variables: SUPERSET_URL, SUPERSET_USERNAME, SUPERSET_PASSWORD. Available via uvx and pip.
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A unified biomedical graph database that integrates 50+ primary data sources
Best for Retrieving high-resolution protein structures for specific gene targets.
*A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured,…
What it does
- Integrates 50+ primary biomedical data sources including genes, proteins, and compounds
- Provides billions of cross-reference edges for complex biomedical queries
- Supports natural language querying for structured biomedical data
- Enables cross-database mapping (e.g., Ensembl to UniProt to PDB)
Biggest differences
CompareApache SupersetBioBTree
Best forAutomating the creation and deployment of BI dashboards for new projects.Retrieving high-resolution protein structures for specific gene targets.
Standout128+ MCP tools covering the complete Superset REST API.Integrates 50+ primary biomedical data sources including genes, proteins, and compounds.
Setupuvx or pip, needs 3 env vars, http transport.Claude Desktop, http transport.
Transporthttphttp
Community21 GitHub stars16 GitHub stars
Bottom line
Pick Apache Superset if...Automating the creation and deployment of BI dashboards for new projects. 128+ MCP tools covering the complete Superset REST API. uvx or pip, needs 3 env vars, http transport.
Pick BioBTree if...Retrieving high-resolution protein structures for specific gene targets. Integrates 50+ primary biomedical data sources including genes, proteins, and compounds. Claude Desktop, http transport.
The real split here is workflow fit, not raw counts. Apache Superset: Automating the creation and deployment of BI dashboards for new projects. BioBTree: Retrieving high-resolution protein structures for specific gene targets. Public traction is fairly close (21 vs 16 stars).