"Unity" matching MCP servers:

Indexes Unity project assets into a SQLite reference graph and provides an MCP server for querying asset dependencies, references, unused assets, and broken references.

Access your Databricks workspace through Claude and other LLMs. Query Unity Catalog tables, inspect jobs, and retrieve detailed metadata.

A Model Context Protocol server that provides access to Unity Catalog Functions, allowing AI assistants to list, get, create, and delete functions within Unity Catalog directly through a standardized interface.

Enables AI assistants to execute SQL queries and explore databases, tables, and catalogs on Databricks using Unity Catalog.

Read-only MCP server for Databricks, exposing Unity Catalog browsing and SQL execution with robust write protection via SQL AST analysis.

Enables management of Unity Catalog resources (catalogs, schemas, tables) and execution of SQL queries on Databricks SQL Warehouses.

Enables AI assistants to interact with GitHub repositories, Confluence documentation, and Databricks Unity Catalog through comprehensive tools for code exploration, documentation retrieval, and data schema management.

Exposes Databricks REST APIs as MCP tools for managing and querying a Databricks workspace, including clusters, jobs, SQL, Unity Catalog, and more.

Enables LLM-powered tools to interact with Databricks clusters, jobs, notebooks, SQL warehouses, and Unity Catalog through the Model Completion Protocol. Provides comprehensive access to Databricks REST API functionality including cluster management, job execution, workspace operations, and data catalog operations.

Enables AI assistants to interact with Databricks workspaces through natural language, supporting SQL queries, cluster management, jobs, Genie AI, Unity Catalog, and more.

Exposes Databricks REST API as MCP tools for managing clusters, jobs, notebooks, SQL queries, Unity Catalog, and more. Enables AI agents to interact with Databricks workspaces through natural language.

MCP server for Databricks Unity Catalog, enabling table listing, schema description, and read-only SQL query execution via natural language. Built from scratch to demonstrate JSON-RPC 2.0 protocol depth.

Enables AI agents to explore Unity Catalog metadata, execute SQL queries, and analyze data lineage including notebooks and jobs, empowering autonomous data discovery and query generation in Databricks.

Enables AI assistants to interact with the Databricks platform through 263 tools and 8 prompt templates, covering Unity Catalog, SQL, Compute, Jobs, Pipelines, and more.

A Model Context Protocol server that enables AI assistants to interact with Databricks workspaces, allowing them to browse Unity Catalog, query metadata, sample data, and execute SQL queries.

Enables interaction with Databricks for running SQL queries, managing clusters, triggering jobs, running notebooks, exploring Unity Catalog metadata, managing secrets, and interacting with DBFS.

Enables AI agents to access enterprise data from Unity Catalog (vector search, functions, Genie spaces) and perform developer actions in Databricks like managing notebooks and running jobs.

Deploys the Databricks AI Dev Kit MCP server as a Databricks App, exposing over 80 tools for interacting with workspace services like SQL warehouses, Unity Catalog, and AI/BI dashboards. It enables users to manage and query Databricks resources via natural language in the AI Playground using a Streamable HTTP transport.

MCP server for storing and retrieving database schema information for LLMs. Enables auto-loading Databricks Unity Catalog schemas and vector-based semantic search via configurable embedding service.

A governed MCP server exposing Databricks operations as tools for jobs orchestration, SQL execution, notebook creation, Unity Catalog governance, lineage, clusters, and DLT pipelines, with safety features like dry-run and audit logging.