Databricks is a data analytics platform that provides data lakehouse solutions for businesses, combining data warehouses and data lakes to offer unified analytics for data engineering, machine learning, and business intelligence.
Agentic data quality MCP server — runs structured validation rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Full audit trail of every AI decision.
Last updated
6
4
Apache 2.0
Why this server?
Enables natural language querying and analysis of Databricks SQL warehouses, returning markdown reports with tables and charts.
Celp-MCP enables natural-language analytics over SQL, MongoDB, and Databricks warehouses through MCP-compatible clients, converting questions into multi-step database plans and returning markdown reports.
Last updated
4
12
MIT
Why this server?
Manages tag-based data masking, access governance, and classification for Databricks databases through the ALTR platform.
Enables AI assistants to manage data security on the ALTR platform for Snowflake, Databricks, and OLTP databases, offering 99 tools across 10 domains including tag masking, policies, classification, and access governance.
Last updated
100
GPL 3.0
Why this server?
Read-only SQL analytics for Databricks SQL Warehouses, supporting table exploration, querying, and profiling with built-in safety guardrails.
Safe, read-only SQL analytics for AI agents over MCP, enabling exploration, profiling, and querying of data without mutation risk.
Last updated
5
MIT
Why this server?
Provides LOINC search capabilities (lab tests, vitals, measurements, panels, surveys) and can be deployed as a Databricks app with secure credential management via Databricks secrets and inference via AI Gateway.
Enables LLMs to search LOINC terms with free-text, relevance-ranked, and faceted queries via the LOINC Search API, mirroring the loinc.org/search experience.
Last updated
5
MIT
Why this server?
Provides tools to manage and query Databricks workspaces, including clusters, jobs, SQL warehouses, notebooks, MLflow, Unity Catalog, Delta Live Tables, and more.
Exposes Databricks REST APIs as MCP tools for managing and querying a Databricks workspace, including clusters, jobs, SQL, Unity Catalog, and more.
Last updated
100
MIT
Why this server?
Provides access to Databricks functionality including cluster management, job management, notebook operations, file system operations (DBFS and Unity Catalog volumes), and SQL execution capabilities.
A fixed Model Completion Protocol (MCP) server that enables LLMs like Claude Code to interact with Databricks functionality including clusters, jobs, notebooks, and SQL execution through natural language commands.
Last updated
19
4
MIT
Why this server?
Supports authentication with Databricks-hosted MLflow servers via token-based auth.
A Model Context Protocol server that enables LLMs to interact with MLflow tracking servers, allowing users to query experiments, analyze runs, compare metrics, manage the model registry, and promote models through natural language.
Last updated
40
13
MIT
Why this server?
Allows querying Databricks via Unity Catalog or Hive metastore.
Query SQL databases (SQLite, PostgreSQL, BigQuery, Databricks) in natural language through a business semantic layer — glossary, metrics, and a data dictionary grounded against your real schema. Read-only by default, with an embedded SQLite + sqlite-vec metadata store and no external infra required.
