MCP Connector

Connect AI agents to Unity Catalog functions and data

MCP server exposing Unity Catalog Functions as AI-callable tools, with function list/get/create/delete management.

Works with unitycatalogdockerclaudevscode

46
Spark score
out of 100
Updated Mar 2025
Source checked Sep 9, 2026
Version 1.0.0

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Why it matters

Enable AI assistants to discover, execute, and manage Unity Catalog functions directly from conversational interfaces, allowing seamless integration between AI workflows and enterprise data catalogs.

Outcomes

What it gets done

01

List and retrieve function definitions from Unity Catalog schemas

02

Execute registered Unity Catalog functions with parameters

03

Create new Python functions in Unity Catalog programmatically

04

Delete functions from Unity Catalog catalogs and schemas

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/mcp-unity-catalog | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Unity Catalog

A Model Context Protocol server that exposes Unity Catalog Functions as AI-callable tools, both dynamically for any registered function and through built-in tools to list, inspect, create, and delete functions in a configured catalog and schema. Use it to call or manage Unity Catalog Functions from an AI assistant; function creation is experimental, and switching catalog/schema currently requires a server restart.

What it does

Unity Catalog MCP Server exposes Unity Catalog Functions as MCP tools, so any function already registered in a given Unity Catalog catalog/schema becomes directly callable by an AI assistant - not just a fixed set of predefined operations. Alongside those dynamically-exposed registered functions, it ships 4 built-in management tools: uc_list_functions lists functions in the configured catalog/schema; uc_get_function retrieves a function's details by name; uc_create_function registers a new function from a Python script (explicitly marked experimental and subject to change); and uc_delete_function removes a function. The server connects to a single Unity Catalog server/catalog/schema set at startup via CLI flags or environment variables (UC_SERVER, UC_CATALOG, UC_SCHEMA, optional UC_TOKEN for auth, plus verbosity/log-directory settings) - switching catalog or schema currently requires restarting the server, though use_catalog/use_schema functions for dynamic switching are listed as a planned (not yet implemented) feature, alongside semantic catalog explorer tools.

When to use - and when NOT to

Use it when an AI assistant needs to call functions already registered in Unity Catalog, or manage that function registry (list, inspect, create, delete) from a single configured catalog/schema. Treat uc_create_function as experimental - its interface is expected to change - and be aware there is currently no way to switch catalogs/schemas without restarting the server. It is scoped to Unity Catalog Functions specifically, not general Unity Catalog data governance (tables, volumes, permissions) beyond what these function-management tools directly expose.

Capabilities

  • All Unity Catalog Functions already registered in the configured catalog/schema, exposed directly as callable MCP tools
  • uc_list_functions - list functions in the catalog/schema
  • uc_get_function(name) - function details by name
  • uc_create_function(name, script) - register a new Python-scripted function (experimental)
  • uc_delete_function(name) - remove a function permanently
  • Configuration via CLI flags or UC_SERVER/UC_CATALOG/UC_SCHEMA/UC_TOKEN environment variables

How to install

{
  "mcpServers": {
    "unitycatalog": {
      "command": "uv",
      "args": ["--directory", "/<path to your local git repository>/mcp-server-unitycatalog", "run", "mcp-server-unitycatalog", "--uc_server", "<your unity catalog url>", "--uc_catalog", "<your catalog name>", "--uc_schema", "<your schema name>"]
    }
  }
}

No separate install step is needed with uv/uvx. A Docker image is also available (docker build -t mcp/unitycatalog ., then run with the same --uc_server/--uc_catalog/--uc_schema args). Licensed under the MIT License.

Who it's for

Data teams using Unity Catalog who want an AI assistant to call registered catalog functions directly, or manage the function registry (list, inspect, create, delete) for a specific catalog and schema.

Source README

mcp-server-unitycatalog: An Unity Catalog MCP server

Overview

A Model Context Protocol server for Unity Catalog. This server provides Unity Catalog Functions as MCP tools.

Tools

You can use all Unity Catalog Functions registered in Unity Catalog alongside the following predefined Unity Catalog AI tools:

  1. uc_list_functions

    • Lists functions within the specified parent catalog and schema.
    • Returns: A list of functions retrieved from Unity Catalog.
  2. uc_get_function

    • Gets a function within a parent catalog and schema.
    • Input:
      • name (string): The name of the function (not fully-qualified).
    • Returns: A function details retrieved from Unity Catalog.
  3. uc_create_function

    • Creates a function within a parent catalog and schema. WARNING: This API is experimental and will change in future versions.
    • Input:
      • name (string): The name of the function (not fully-qualified).
      • script (string): The Python script including the function to be registered.
    • Returns: A function details created within Unity Catalog.
  4. uc_delete_function

    • Deletes a function within a parent catalog and schema.
    • Input:
      • name (string): The name of the function (not fully-qualified).
    • Returns: None.

Installation

Using uv

When using uv no specific installation is needed. We will use
uvx to directly run mcp-server-git.

Configuration

These values can also be set via CLI options or .env environment variables. Required arguments are the Unity Catalog server, catalog, and schema, while the access token and verbosity level are optional. Run uv run mcp-server-unitycatalog --help for more detailed configuration options.

Argument Environment Variable Description Required/Optional
-u, --uc_server UC_SERVER The base URL of the Unity Catalog server. Required
-c, --uc_catalog UC_CATALOG The name of the Unity Catalog catalog. Required
-s, --uc_schema UC_SCHEMA The name of the schema within a Unity Catalog catalog. Required
-t, --uc_token UC_TOKEN The access token used to authorize API requests to the Unity Catalog server. Optional
-v, --uc_verbosity UC_VERBOSITY The verbosity level for logging. Default: warn. Optional
-l, --uc_log_directory UC_LOG_DIRECTORY The directory where log files will be stored. Default: .mcp_server_unitycatalog. Optional

Usage with Claude Desktop or VSCode Cline

Add this to your claude_desktop_config.json (or cline_mcp_settings.json):

Using uv
{
  "mcpServers": {
    "unitycatalog": {
      "command": "uv",
      "args": [
        "--directory",
        "/<path to your local git repository>/mcp-server-unitycatalog",
        "run",
        "mcp-server-unitycatalog",
        "--uc_server",
        "<your unity catalog url>",
        "--uc_catalog",
        "<your catalog name>",
        "--uc_schema",
        "<your schema name>"
      ]
    }
  }
}
Using docker
  • Note: replace '/Users/username' with the a path that you want to be accessible by this tool
{
  "mcpServers": {
    "unitycatalog": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "mcp/unitycatalog",
        "--uc_server",
        "<your unity catalog url>",
        "--uc_catalog",
        "<your catalog name>",
        "--uc_schema",
        "<your schema name>"
      ]
    }
  }
}

Building

Docker:

docker build -t mcp/unitycatalog .   

Future Plans

  • Implement support for list_functions.
  • Implement support for get_function.
  • Implement support for create_python_function.
  • Implement support for execute_function.
  • Implement support for delete_function.
  • Implement semantic catalog explorer tools.
  • Add Docker image.
  • Implement use_xxx methods. In the current implementation, catalog and schema need to be defined when starting the server. However, they will be implemented as use_catalog and use_schema functions, dynamically updating the list of available functions when the use_xxx is executed.

FAQ

Common questions

Discussion

Questions & comments · 0

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