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MCP Servers for Databricks

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.

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  • Why this server?

    Provides tools for interacting with Databricks workspaces, allowing users to list catalogs, schemas, and tables, execute SQL statements, and retrieve information about SQL warehouses.

  • Why this server?

    Connects to Databricks API, allowing SQL query execution on Databricks warehouses, listing of jobs, retrieving job status, and accessing detailed job information.

    Databricks MCP Server

    JordiNeil
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    security
    F
    license
    -
    quality
    A Model Context Protocol server that enables LLMs to interact with Databricks workspaces through natural language, allowing SQL query execution and job management operations.
    Last updated -
    19
    Python
    • Linux
    • Apple

  • Why this server?

    Provides access to Databricks functionality through tools that allow interacting with clusters (listing, creating, terminating, starting), jobs (listing, running), notebooks (listing, exporting), files (browsing DBFS paths), and executing SQL queries on a Databricks instance.

    Databricks MCP Server

    JustTryAI
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    security
    F
    license
    -
    quality
    A server that implements the Model Completion Protocol (MCP) to allow LLMs to interact with Databricks resources including clusters, jobs, notebooks, and SQL execution through natural language.
    Last updated -
    6
    Python

  • Why this server?

    Executes SQL queries against Databricks using the Statement Execution API, allowing data retrieval, schema listing, table enumeration, and table schema description through the Databricks platform.

    MCP Databricks Server

    RafaelCartenet
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    security
    F
    license
    -
    quality
    This is a Model Context Protocol (MCP) server for executing SQL queries against Databricks using the Statement Execution API. It enables AI assistants to directly query Databricks data warehouses, analyze database schemas, and retrieve query results in a structured format
    Last updated -
    4
    Python
    • Linux
    • Apple