AI tools for Databricks
13 MCP servers, agents and text-to-SQL tools that work with Databricks, ranked within this target.
Top by category
Text-to-SQL
- WrenAI 18k★
- Dataherald 3.6k★
- Vanna 24k★
Platforms & infra
- Apache Superset 75k★
- Metabase 50k★
- Cube 21k★
- Evidence 7.0k★
- Lightdash 6.2k★
All Databricks tools
| # | Tool | Category | Score | Stars | Freshness | Access |
|---|---|---|---|---|---|---|
| 1 · 1 in cat | Apache Supersetofficial Open-source BI platform | Platforms & infra | 99 | 75k | 0d | write |
| 2 · 2 in cat | Metabaseofficial Open-source BI with Metabot AI | Platforms & infra | 96 | 50k | 0d | write |
| 3 · 6 in cat | Cubeofficial Semantic layer with AI API and MCP | Platforms & infra | 92 | 21k | 0d | read-only |
| 4 · 2 in cat | WrenAIofficial Open-source GenBI agent: text-to-SQL, charts, semantic layer | Text-to-SQL | 91 | 18k | 1d | read-only |
| 5 · 6 in cat | MindsDBofficial Federated query engine for AI agents with MCP server | Agents | 89 | 40k | 36d | write |
| 6 · 10 in cat | Evidenceofficial BI-as-code static reporting framework (SQL+Markdown) | Platforms & infra | 86 | 7.0k | 0d | read-only |
| 7 · 11 in cat | Lightdashofficial dbt-native BI with AI agents and MCP | Platforms & infra | 86 | 6.2k | 0d | write |
| 8 · 12 in cat | SQLMeshofficial dbt-compatible transformation framework | Platforms & infra | 82 | 3.3k | 0d | write |
| 9 · 14 in cat | Bruinofficial End-to-end data pipeline CLI (ingest, SQL, Python, quality) with MCP | Platforms & infra | 79 | 1.8k | 0d | write |
| 10 · 5 in cat | Dataheraldofficial Natural-language-to-SQL engine for enterprise QA over relational data | Text-to-SQL | 53 | 3.6k | 827d | read-only |
| 11 · 27 in cat | Databricks MCP (Labs)official Databricks Labs MCP servers for Unity Catalog functions, Genie, vector search | MCP servers | 34 | 100 | 464d | read-only |
| 12 · 35 in cat | Databricks MCP (community) MCP server for running SQL and listing jobs on Databricks | MCP servers | 20 | 50 | 556d | read-only |
| 13 · 6 in cat | Vannaofficialarchived RAG-based text-to-SQL Python framework | Text-to-SQL | 23 | 24k | 256d | read-only |