diff --git a/.github/workflows/auto-assign-on-comment.yaml b/.github/workflows/auto-assign-on-comment.yml
similarity index 94%
rename from .github/workflows/auto-assign-on-comment.yaml
rename to .github/workflows/auto-assign-on-comment.yml
index 56b88d0..96dc6a0 100644
--- a/.github/workflows/auto-assign-on-comment.yaml
+++ b/.github/workflows/auto-assign-on-comment.yml
@@ -6,7 +6,9 @@ permissions:
issues: write
jobs:
assign:
- runs-on: ubuntu-latest
+ runs-on:
+ group: databrickslabs-protected-runner-group
+ labels: linux-ubuntu-latest
if: (!github.event.issue.pull_request) && contains(github.event.comment.body, 'take')
concurrency:
group: ${{ github.actor }}-auto-assign-issue
diff --git a/.github/workflows/unit_tests.yml b/.github/workflows/unit_tests.yml
index 423464b..2e93cfb 100644
--- a/.github/workflows/unit_tests.yml
+++ b/.github/workflows/unit_tests.yml
@@ -1,66 +1,43 @@
name: Unit Tests
on:
- push:
- paths:
- - "servers/**"
- - ".github/workflows/unit_tests.yml"
pull_request:
- paths:
- - "servers/**"
- - ".github/workflows/unit_tests.yml"
+ types: [opened, synchronize]
+ merge_group:
+ types: [checks_requested]
+ push:
+ # Always run on push to main. The build cache can only be reused
+ # if it was saved by a run from the repository's default branch.
+ # The run result will be identical to that from the merge queue
+ # because the commit is identical, yet we need to perform it to
+ # seed the build cache.
+ branches:
+ - master
jobs:
- discover:
- runs-on:
- group: databrickslabs-protected-runner-group
- labels: linux-ubuntu-latest
- outputs:
- server_dirs: ${{ steps.set-matrix.outputs.server_dirs }}
-
- steps:
- - name: Checkout code
- uses: actions/checkout@v4
-
- - name: Discover server dirs with tests
- id: set-matrix
- run: |
- dirs=$(find servers -mindepth 1 -maxdepth 1 -type d -exec test -d "{}/tests" \; -print | sed 's|servers/||' | jq -R . | jq -cs .)
- echo "Found directories: $dirs"
- echo "server_dirs=$dirs" >> "$GITHUB_OUTPUT"
-
-
test:
- needs: discover
runs-on:
group: databrickslabs-protected-runner-group
labels: linux-ubuntu-latest
- strategy:
- matrix:
- server-dir: ${{ fromJson(needs.discover.outputs.server_dirs) }}
steps:
- name: Checkout code
uses: actions/checkout@v4
- - name: Set up Python
- uses: actions/setup-python@v5
+ - name: Install uv and set the python version
+ uses: astral-sh/setup-uv@v5
with:
python-version: "3.12"
+ enable-cache: true
+ cache-dependency-glob: "uv.lock"
- - name: Install uv
- uses: astral-sh/setup-uv@v5
-
- - name: Install dependencies with uv
- working-directory: servers/${{ matrix.server-dir }}
- run: |
- uv sync
- uv pip install --group dev
+ - name: Install the project
+ run: uv sync --locked --all-extras --dev
- name: Run tests
- working-directory: servers/${{ matrix.server-dir }}
run: uv run pytest tests
+
lint:
runs-on:
group: databrickslabs-protected-runner-group
@@ -69,15 +46,15 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
- - name: Set up Python
- uses: actions/setup-python@v5
+ - name: Install uv and set the python version
+ uses: astral-sh/setup-uv@v5
with:
python-version: "3.12"
+ enable-cache: true
+ cache-dependency-glob: "uv.lock"
- - name: Install uv
- run: |
- curl -LsSf https://astral.sh/uv/install.sh | sh
- echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+ - name: Install the project
+ run: uv sync --locked --all-extras --dev
- name: Run lint checks
- run: ./dev/lint.sh
+ run: make lint
diff --git a/.gitignore b/.gitignore
index 5d98269..bb77da7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -120,3 +120,8 @@ a.md
# Ignore a gunicorn config file
gunicorn.conf.py
+
+# ignore version file
+src/databricks/labs/mcp/_version.py
+
+.ruff_cache/
\ No newline at end of file
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index f2ba038..9832ffe 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -10,11 +10,10 @@ before sending a pull request. For smaller changes (e.g. fixing a bug, adding a
### Running tests
-First, install test requirements from within the directory of the server you're working on:
+First, install all requirements from within the directory of the server you're working on:
```bash
uv sync
-uv pip install --group dev
```
To run tests:
@@ -25,7 +24,8 @@ uv run pytest tests
To run and fix lint errors, run the following from the repo root directory:
```bash
-./dev/lint.sh --fix
+make fmt # to format code
+make lint # to run linters
```
### Guidelines for MCP servers
diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..0e891b4
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,7 @@
+fmt:
+ uv run black .
+ uv run ruff check . --fix
+
+lint:
+ uv run black . --check
+ uv run ruff check .
\ No newline at end of file
diff --git a/README.md b/README.md
index d4795f8..3ee76a5 100644
--- a/README.md
+++ b/README.md
@@ -2,25 +2,46 @@

+Table of Contents
+=================
+
+- [Databricks MCP servers](#databricks-mcp-servers)
+- [Table of Contents](#table-of-contents)
+ - [Overview](#overview)
+ - [Unity Catalog Server](#unity-catalog-server)
+ - [Overview](#overview-1)
+ - [Usage](#usage)
+ - [Supported tools](#supported-tools)
+ - [Developer Tools Server](#developer-tools-server)
+ - [Support](#support)
+ - [Contributing](#contributing)
+
## Overview
An experimental collection of [MCP](https://modelcontextprotocol.io/introduction) servers to help AI agents fetch enterprise data from Databricks, automate common developer actions on Databricks, etc:
* 
- [Databricks Unity Catalog server](./servers/unity_catalog/README.md): Fetch data and run tools registered in from Unity Catalog, making agents aware of your enterprise data
+ [Databricks Unity Catalog server](#unity-catalog-server): Fetch data and run tools registered in from Unity Catalog, making agents aware of your enterprise data
* 
- [Databricks developer tools server](./servers/developer_tools/README.md): Perform common developer actions in Databricks, like creating and updating notebooks, running jobs, etc. This server is not yet usable, but contributions are welcome!
+ [Databricks developer tools server](#developer-tools-server): Perform common developer actions in Databricks, like creating and updating notebooks, running jobs, etc. This server is not yet usable, but contributions are welcome!
+ Note: if developing from within the Databricks product (e.g. using Databricks notebooks), we recommend using [Databricks Assistant](https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq)
The set of servers and tools in this repo is fluid and will evolve over time. We welcome contributions to this repo - please first
read the [contributor guidelines](CONTRIBUTING.md) to streamline the process and discover areas where help is needed.
-## Usage
-See the `README.md` in each server's directory for detailed instructions.
-For most servers, the following steps work:
+## Unity Catalog Server
+
+
+
+### Overview
+A Model Context Protocol server that exposes structured and unstructured data in Unity Catalog ([vector search indexes](https://docs.databricks.com/gcp/en/generative-ai/vector-search), [functions](https://docs.databricks.com/aws/en/generative-ai/agent-framework/create-custom-tool), and [Genie spaces](https://docs.databricks.com/aws/en/genie/)), as tools.
+
+
+### Usage
1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/)
1. Install Python using `uv python install 3.12`
1. [Configure Databricks credentials](https://docs.databricks.com/aws/en/dev-tools/cli/authentication) with access to the required APIs
-1. Add the server to your MCP client configuration. For example, to use the Databricks Unity Catalog MCP server with Claude Desktop, add the following to your `claude_desktop_config.json`:
+1. Add the server to your MCP client configuration. For example, to use this server with Claude Desktop, add the following to your `claude_desktop_config.json`:
```json
{
@@ -29,7 +50,7 @@ For most servers, the following steps work:
"command": "/path/to/uv/executable/uv",
"args": [
"--directory",
- "/path/to/this/repo/servers/unity_catalog",
+ "/path/to/this/repo",
"run",
"unitycatalog-mcp",
"-s",
@@ -42,6 +63,20 @@ For most servers, the following steps work:
}
```
+### Supported tools
+
+The list of tools supported by this server is dynamically inferred at startup time based on the functions and vector search indexes
+within the specified Unity Catalog schema, as well as any specified Genie spaces. In particular, the server exposes
+the following tools:
+
+* **UC Functions**: for each UC function, the server exposes a tool with the same name, arguments, and return type as the function
+* **Vector search indexes**: for each vector search index, the server exposes a tool for querying that vector search index
+* **Genie spaces**: for each Genie space, the server exposes tools for managing conversations and sending questions to the space
+
+## Developer Tools Server
+
+This server is currently under construction. It is not yet usable, but contributions are welcome!
+
## Support
Please note that all projects in the `databrickslabs` GitHub organization are provided for your exploration only, and are not formally supported by Databricks with Service Level Agreements (SLAs). They are provided AS-IS and we do not make any guarantees of any kind. Please do not submit a support ticket relating to any issues arising from the use of these projects.
diff --git a/dev/lint.sh b/dev/lint.sh
deleted file mode 100755
index c304a00..0000000
--- a/dev/lint.sh
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/usr/bin/env bash
-set -euo pipefail
-
-# Usage: ./lint.sh [--fix]
-
-ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-FIX=false
-
-if [[ "${1:-}" == "--fix" ]]; then
- FIX=true
-fi
-
-echo "Linting Python files in servers/... with black and ruff"
-uv pip install --system black ruff
-
-if $FIX; then
- echo "š Fixing formatting with black and ruff"
- black servers/
- ruff check servers/ --fix
-else
- echo "š Checking formatting (without fixing)"
- if ! black servers/ --check; then
- echo -e "\nā Black found formatting issues. To fix them, run:"
- echo " ./dev/lint.sh --fix"
- exit 1
- fi
-
- if ! ruff check servers/; then
- echo -e "\nā Ruff found issues. To fix them, run:"
- echo " ./dev/lint.sh --fix"
- exit 1
- fi
-fi
diff --git a/servers/unity_catalog/docs/images/demo.png b/docs/images/demo.png
similarity index 100%
rename from servers/unity_catalog/docs/images/demo.png
rename to docs/images/demo.png
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..4ca266e
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,70 @@
+[project]
+
+name = "databricks-labs-mcp"
+dynamic = ["version", "readme"]
+description = "Databricks MCP servers"
+authors = [{ name = "renardeinside", email = "polarpersonal@gmail.com" }]
+requires-python = ">=3.10"
+keywords = ["databricks", "unity catalog", "mcp", "agents", "llm", "automation", "genie"]
+
+dependencies = [
+ "mcp>=1.2.1",
+ "pydantic>=2.10.6",
+ "pydantic-settings>=2.7.1",
+ "unitycatalog-ai>=0.1.0",
+ "databricks-sdk>=0.49.0",
+ "databricks-openai>=0.3.1",
+]
+license-files = ["LICENSE", "NOTICE"]
+
+[tool.uv]
+dev-dependencies = [
+ "black>=25.1.0",
+ "pyright>=1.1.393",
+ "ruff>=0.9.4",
+ "pytest>=8.3.4",
+ "isort>=6.0.1",
+]
+
+[project.scripts]
+unitycatalog-mcp = "databricks.labs.mcp.servers.unity_catalog:main"
+
+[build-system]
+requires = ["hatchling", "hatch-fancy-pypi-readme", "hatch-vcs"]
+build-backend = "hatchling.build"
+
+# for compatability with databricks.labs.* layout
+[tool.hatch.build]
+sources = ["src"]
+include = ["src"]
+
+
+[tool.hatch.version]
+source = "vcs"
+
+[tool.hatch.build.hooks.vcs]
+version-file = "src/databricks/labs/mcp/_version.py"
+
+
+[tool.hatch.metadata.hooks.fancy-pypi-readme]
+content-type = "text/markdown"
+
+[[tool.hatch.metadata.hooks.fancy-pypi-readme.fragments]]
+path = "README.md"
+
+[[tool.hatch.metadata.hooks.fancy-pypi-readme.substitutions]]
+# replace relative links with absolute links
+pattern = '\[(.+?)\]\(((?!https?://)\S+?)\)'
+replacement = '[\1](https://github.com/databrickslabs/mcp/tree/main/\g<2>)'
+
+[[tool.hatch.metadata.hooks.fancy-pypi-readme.substitutions]]
+# replace relative image links with absolute links
+pattern = '
'
+replacement = '
"\g<3>>'
+
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+python_files = "test_*.py"
+python_classes = "Test*"
+python_functions = "test_*"
diff --git a/servers/developer_tools/README.md b/servers/developer_tools/README.md
deleted file mode 100644
index a261a5f..0000000
--- a/servers/developer_tools/README.md
+++ /dev/null
@@ -1,34 +0,0 @@
-# Databricks developer tools MCP server
-
-
-## š§ Work in Progress š§
-**This server is still under initial development and is not yet usable. Contributions are welcome!**
-
-## Overview
-A Model Context Protocol server that exposes common Databricks developer actions as tools.
-
-## Usage
-1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/)
-1. Install Python using `uv python install 3.12`
-1. [Configure Databricks credentials](https://docs.databricks.com/aws/en/dev-tools/cli/authentication) with access to the required APIs
-1. Add the server to your MCP client configuration. For example, to use this server with Claude Desktop, add the following to your `claude_desktop_config.json`:
-
-```json
-{
- "mcpServers": {
- "databricks_developer_tools": {
- "command": "/path/to/uv/executable/uv",
- "args": [
- "--directory",
- "/path/to/this/repo/servers/developer_tools",
- "run",
- "databricks-developer-tools"
- ]
- }
- }
-}
-```
-
-## Supported tools
-
-TODO: add a list here
diff --git a/servers/unity_catalog/README.md b/servers/unity_catalog/README.md
deleted file mode 100644
index 28aa33c..0000000
--- a/servers/unity_catalog/README.md
+++ /dev/null
@@ -1,44 +0,0 @@
-# Databricks Unity Catalog MCP server
-
-
-## Overview
-A Model Context Protocol server that exposes structured and unstructured data in Unity Catalog ([vector search indexes](https://docs.databricks.com/gcp/en/generative-ai/vector-search), [functions](https://docs.databricks.com/aws/en/generative-ai/agent-framework/create-custom-tool), and
-[Genie spaces](https://docs.databricks.com/aws/en/genie/)), as tools.
-
-
-
-## Usage
-1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/)
-1. Install Python using `uv python install 3.12`
-1. [Configure Databricks credentials](https://docs.databricks.com/aws/en/dev-tools/cli/authentication) with access to the required APIs
-1. Add the server to your MCP client configuration. For example, to use this server with Claude Desktop, add the following to your `claude_desktop_config.json`:
-
-```json
-{
- "mcpServers": {
- "databricks_unity_catalog": {
- "command": "/path/to/uv/executable/uv",
- "args": [
- "--directory",
- "/path/to/this/repo/servers/unity_catalog",
- "run",
- "unitycatalog-mcp",
- "-s",
- "your_catalog.your_schema",
- "-g",
- "genie_space_id_1,genie_space_id_2"
- ]
- }
- }
-}
-```
-
-## Supported tools
-
-The list of tools supported by this server is dynamically inferred at startup time based on the functions and vector search indexes
-within the specified Unity Catalog schema, as well as any specified Genie spaces. In particular, the server exposes
-the following tools:
-
-* **UC Functions**: for each UC function, the server exposes a tool with the same name, arguments, and return type as the function
-* **Vector search indexes**: for each vector search index, the server exposes a tool for querying that vector search index
-* **Genie spaces**: for each Genie space, the server exposes tools for managing conversations and sending questions to the space
diff --git a/servers/unity_catalog/pyproject.toml b/servers/unity_catalog/pyproject.toml
deleted file mode 100644
index d4ac565..0000000
--- a/servers/unity_catalog/pyproject.toml
+++ /dev/null
@@ -1,42 +0,0 @@
-[project]
-name = "unitycatalog-mcp"
-version = "0.1.0"
-description = "An MCP (Model Context Protocol) server for retrieving data and executing functions in Unity Catalog."
-readme = "README.md"
-requires-python = ">=3.10"
-keywords = ["databricks", "unity catalog", "mcp", "agents", "llm", "automation", "genie"]
-license = { text = "Databricks License" }
-classifiers = [
- "Development Status :: 4 - Beta",
- "Intended Audience :: Developers",
- "Programming Language :: Python :: 3",
- "Programming Language :: Python :: 3.10",
-]
-dependencies = [
- "mcp>=1.2.1",
- "pydantic>=2.10.6",
- "pydantic-settings>=2.7.1",
- "unitycatalog-ai>=0.1.0",
- "databricks-sdk>=0.49.0",
- "databricks-openai>=0.3.1",
-]
-
-[project.scripts]
-unitycatalog-mcp = "unitycatalog_mcp:main"
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[tool.uv]
-dev-dependencies = [
- "pyright>=1.1.393",
- "ruff>=0.9.4",
- "pytest>=8.3.4",
-]
-
-[tool.pytest.ini_options]
-testpaths = ["tests"]
-python_files = "test_*.py"
-python_classes = "Test*"
-python_functions = "test_*"
diff --git a/servers/unity_catalog/src/unitycatalog_mcp/__main__.py b/servers/unity_catalog/src/unitycatalog_mcp/__main__.py
deleted file mode 100644
index edab862..0000000
--- a/servers/unity_catalog/src/unitycatalog_mcp/__main__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from unitycatalog_mcp import main
-
-
-if __name__ == "__main__":
- main()
diff --git a/servers/unity_catalog/src/unitycatalog_mcp/version.py b/servers/unity_catalog/src/unitycatalog_mcp/version.py
deleted file mode 100644
index 0ed25e6..0000000
--- a/servers/unity_catalog/src/unitycatalog_mcp/version.py
+++ /dev/null
@@ -1,3 +0,0 @@
-import importlib.metadata
-
-VERSION = importlib.metadata.version("unitycatalog-mcp")
diff --git a/src/databricks/__init__.py b/src/databricks/__init__.py
new file mode 100644
index 0000000..3ffb9c3
--- /dev/null
+++ b/src/databricks/__init__.py
@@ -0,0 +1,3 @@
+# DO NOT ADD ANYTHING ELSE TO THIS FILE FOR COMPATIBILITY WITH OTHER databricks.labs.* PACKAGES
+# SEE https://packaging.python.org/guides/packaging-namespace-packages/#pkgutil-style-namespace-packages
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)
diff --git a/src/databricks/labs/__init__.py b/src/databricks/labs/__init__.py
new file mode 100644
index 0000000..3ffb9c3
--- /dev/null
+++ b/src/databricks/labs/__init__.py
@@ -0,0 +1,3 @@
+# DO NOT ADD ANYTHING ELSE TO THIS FILE FOR COMPATIBILITY WITH OTHER databricks.labs.* PACKAGES
+# SEE https://packaging.python.org/guides/packaging-namespace-packages/#pkgutil-style-namespace-packages
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)
diff --git a/src/databricks/labs/mcp/servers/__init__.py b/src/databricks/labs/mcp/servers/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/databricks/labs/mcp/servers/developer_tools/Dockerfile b/src/databricks/labs/mcp/servers/developer_tools/Dockerfile
new file mode 100644
index 0000000..8d9d8be
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/Dockerfile
@@ -0,0 +1,24 @@
+FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy package configuration and requirements
+COPY ./pyproject.toml ./pyproject.toml
+COPY ./uv.lock ./uv.lock
+COPY ./README.md ./README.md
+
+# Copy the package code
+COPY ./src ./src
+
+# Make port 8000 available to the world outside this container
+# (MCP servers typically run on port 8000 by default)
+EXPOSE 8000
+
+# Define environment variables (these will be overridden by docker run -e flags)
+ENV DATABRICKS_HOST=""
+ENV DATABRICKS_TOKEN=""
+ENV DATABRICKS_HTTP_PATH=""
+
+# Run the module properly
+CMD ["uv", "run", "developer-tools-mcp"]
\ No newline at end of file
diff --git a/servers/unity_catalog/LICENSE b/src/databricks/labs/mcp/servers/developer_tools/LICENSE
similarity index 100%
rename from servers/unity_catalog/LICENSE
rename to src/databricks/labs/mcp/servers/developer_tools/LICENSE
diff --git a/src/databricks/labs/mcp/servers/developer_tools/README.md b/src/databricks/labs/mcp/servers/developer_tools/README.md
new file mode 100644
index 0000000..f5624a5
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/README.md
@@ -0,0 +1,122 @@
+# Databricks developer tools MCP server
+
+
+## š§ Work in Progress š§
+**This server is still under initial development and is not yet usable. Contributions are welcome!**
+
+## Overview
+A Model Context Protocol server that exposes common Databricks developer actions as tools.
+
+## Usage
+1. [Configure Databricks credentials](https://docs.databricks.com/aws/en/dev-tools/cli/authentication) with access to the required APIs
+1. Add the server to your MCP client configuration. For example:
+
+
+Using uv
+
+1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/)
+1. Install Python using `uv python install 3.12`
+1. Clone this repo `git clone https://github.com/databrickslabs/mcp.git`
+1. Create a file named `.env`
+1. Add to your `claude_desktop_config.json`:
+
+```json
+{
+ "mcpServers": {
+ "databricks-developer-tools": {
+ "command": "uv",
+ "args": [
+ "run",
+ "--directory",
+ "path/to/developer/tools/folder",
+ "--env-file",
+ "path/to/envfile/.env",
+ "developer-tools-mcp"
+ ]
+ }
+ }
+}
+```
+
+Create the file named `.env` with the following content:
+
+```
+DATABRICKS_HOST=dbc-123abc45-6def.cloud.databricks.com
+DATABRICKS_TOKEN=dapi123456789abcdef
+DATABRICKS_HTTP_PATH=/sql/1.0/warehouses/abc123def456ghi
+```
+
+
+
+
+Using docker
+
+### Build the image
+
+```docker build -t databricks-mcp-dev-tools .```
+
+Then update your `claude_desktop_config.json`:
+
+```json
+{
+ "mcpServers": {
+ "databricks_developer_tools": {
+ "command": "docker",
+ "args": [
+ "run",
+ "--rm",
+ "-i",
+ "-e",
+ "DATABRICKS_HOST=",
+ "-e",
+ "DATABRICKS_TOKEN=",
+ "-e",
+ "DATABRICKS_HTTP_PATH=",
+ "databricks-mcp-dev-tools"
+ ]
+ }
+ }
+}
+```
+
+
+
+Using pip
+
+```json
+{
+ "mcpServers": {
+ "databricks_developer_tools": {
+ "command": "python",
+ "args": [
+ "/path/to/databricks-developer-tools/src/developer_tools_mcp"
+ ],
+ "env": {
+ "DATABRICKS_HOST": "",
+ "DATABRICKS_TOKEN": "",
+ "DATABRICKS_HTTP_PATH": ""
+ }
+ }
+ }
+}
+```
+
+
+
+## Supported tools
+
+The following tools are currently implemented and available:
+
+### Jobs Management
+- **list_jobs**: Lists all jobs in the workspace with basic information like job ID, name, and creator.
+- **get_job**: Gets detailed information about a specific job by ID.
+
+### SQL Querying
+- **run_sql_query**: Executes SQL queries on Databricks SQL warehouse and returns results as a markdown table. Useful for data exploration and extraction.
+
+### Connection Testing
+- **test_connection**: Tests connectivity to both the Databricks API and SQL warehouse to verify your credentials and configuration.
+
+## TODO:
+- Publish the MCP as pypi package to avoid cloning the repo when using uv.
+- Publish Docker image to dockerHub to avoid building the image when using docker.
diff --git a/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml b/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml
new file mode 100644
index 0000000..3428e5d
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/pyproject.toml
@@ -0,0 +1,21 @@
+[project]
+name = "developer-tools-mcp"
+version = "0.0.1"
+description = "MCP server for Databricks developer tools"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+ "mcp>=1.0.0",
+ "databricks-sql-connector>=2.4.0",
+ "requests>=2.31.0",
+ "packaging>=23.0",
+ "databricks-sdk",
+ "pyarrow"
+]
+
+[project.scripts]
+developer-tools-mcp = "developer_tools_mcp:main"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
\ No newline at end of file
diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__init__.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__init__.py
new file mode 100644
index 0000000..0b2410c
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__init__.py
@@ -0,0 +1,20 @@
+import sys
+from traceback import format_exc
+from developer_tools_mcp.server import start
+from developer_tools_mcp.version import VERSION
+
+from databricks.sdk.config import with_user_agent_extra
+
+
+def main() -> None:
+ import asyncio
+
+ with_user_agent_extra(key="developer-tools-mcp", value=VERSION)
+ asyncio.run(start())
+
+
+if __name__ == "__main__":
+ try:
+ main()
+ except Exception as _:
+ print(format_exc(), file=sys.stderr)
\ No newline at end of file
diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__main__.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__main__.py
new file mode 100644
index 0000000..521134b
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/__main__.py
@@ -0,0 +1,5 @@
+from developer_tools_mcp import main
+
+
+if __name__ == "__main__":
+ main()
\ No newline at end of file
diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server.py
new file mode 100644
index 0000000..9afd20c
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/server.py
@@ -0,0 +1,61 @@
+import logging
+import collections
+
+from mcp.server import NotificationOptions, Server
+from mcp.server.stdio import stdio_server
+from mcp.types import Tool as ToolSpec
+
+from developer_tools_mcp.tools import list_all_tools
+from developer_tools_mcp.tools.base_tool import BaseTool
+from developer_tools_mcp.version import VERSION
+
+# The logger instance for this module.
+LOGGER = logging.getLogger(__name__)
+
+
+def _warn_if_duplicate_tool_names(tools: list[BaseTool]):
+ tool_names = [tool.tool_spec.name for tool in tools]
+ duplicate_tool_names = [
+ item for item, count in collections.Counter(tool_names).items() if count > 1
+ ]
+ if duplicate_tool_names:
+ LOGGER.warning(
+ f"Duplicate tool names detected: {duplicate_tool_names}. "
+ f"For each duplicate tool name, picking one of the tools with that name."
+ )
+
+
+def get_tools_dict() -> dict[str, BaseTool]:
+ """
+ Returns a dictionary of all tools with their names as keys and tool objects as values.
+ """
+ # Collect all tools from different modules
+ all_tools = list_all_tools()
+
+ # Add additional tools here as they become available
+ # all_tools.extend(other_module_tools())
+
+ _warn_if_duplicate_tool_names(all_tools)
+ return {tool.tool_spec.name: tool for tool in all_tools}
+
+
+async def start() -> None:
+ server = Server(name="mcp-developer-tools", version=VERSION)
+ tools_dict = get_tools_dict()
+
+ @server.list_tools()
+ async def list_tools() -> list[ToolSpec]:
+ return [tool.tool_spec for tool in tools_dict.values()]
+
+ @server.call_tool()
+ async def call_tool(name: str, arguments: dict) -> list:
+ tool = tools_dict[name]
+ return tool.execute(**arguments)
+
+ options = server.create_initialization_options(
+ notification_options=NotificationOptions(
+ resources_changed=True, tools_changed=True
+ )
+ )
+ async with stdio_server() as (read_stream, write_stream):
+ await server.run(read_stream, write_stream, options, raise_exceptions=True)
\ No newline at end of file
diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/__init__.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/__init__.py
new file mode 100644
index 0000000..aef47d6
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/__init__.py
@@ -0,0 +1,20 @@
+from typing import TypeAlias, Union
+from mcp.types import (
+ TextContent,
+ ImageContent,
+ EmbeddedResource,
+)
+
+from developer_tools_mcp.tools.jobs import list_jobs_tool
+from developer_tools_mcp.tools.test_connection import test_connection_tool
+from developer_tools_mcp.tools.sql_query import sql_query_tool
+
+Content: TypeAlias = Union[TextContent, ImageContent, EmbeddedResource]
+
+
+def list_all_tools():
+ tools = []
+ tools.extend(list_jobs_tool())
+ tools.extend(test_connection_tool())
+ tools.extend(sql_query_tool())
+ return tools
\ No newline at end of file
diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py
new file mode 100644
index 0000000..2603d9c
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/base_tool.py
@@ -0,0 +1,13 @@
+from mcp.types import Tool as ToolSpec
+
+# Define a new abstract class for a tool
+from abc import ABC, abstractmethod
+
+
+class BaseTool(ABC):
+ def __init__(self, tool_spec: ToolSpec):
+ self.tool_spec = tool_spec
+
+ @abstractmethod
+ def execute(self, **kwargs):
+ pass
\ No newline at end of file
diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/jobs.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/jobs.py
new file mode 100644
index 0000000..ce37ac0
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/jobs.py
@@ -0,0 +1,84 @@
+import os
+import functools
+import time
+import json
+import logging
+from typing import Union
+from pydantic import BaseModel, Field
+from pydantic.json import pydantic_encoder
+
+from databricks.sdk import WorkspaceClient
+from databricks.sdk.service import jobs
+from mcp.types import TextContent, Tool as ToolSpec
+
+from developer_tools_mcp.tools.base_tool import BaseTool
+
+# Logger
+LOGGER = logging.getLogger(__name__)
+
+# --- Input Schemas ---
+
+class ListJobsInput(BaseModel):
+ pass
+
+
+class GetJobInput(BaseModel):
+ job_id: int
+
+# --- Tool Implementations ---
+
+def _list_jobs(client, args) -> list[TextContent]:
+ model = ListJobsInput.model_validate(args)
+
+ jobs = client.jobs.list()
+ # iterator to json
+ jobs_json = [job.as_dict() for job in jobs]
+ return [
+ TextContent(
+ type="text",
+ text=json.dumps(jobs_json),
+ )
+ ]
+
+def _get_job(client, args) -> list[TextContent]:
+ model = GetJobInput.model_validate(args)
+ job = client.jobs.get(model.job_id)
+
+ return [
+ TextContent(
+ type="text",
+ text=json.dumps(job.as_dict()),
+ )
+ ]
+
+# --- Tool Registry ---
+
+class JobsTool(BaseTool):
+ def __init__(self, name, description, input_schema, func):
+ self.func = func
+ tool_spec = ToolSpec(
+ name=name,
+ description=description,
+ inputSchema=input_schema,
+ )
+ super().__init__(tool_spec)
+
+ def execute(self, **kwargs):
+ return self.func(client=WorkspaceClient(
+ host=os.getenv("DATABRICKS_HOST"),
+ token=os.getenv("DATABRICKS_TOKEN")
+ ), args=kwargs)
+
+def list_jobs_tool() -> list[JobsTool]:
+ return [JobsTool(
+ name="list_jobs",
+ description="List all jobs in the workspace.",
+ input_schema=ListJobsInput.model_json_schema(),
+ func=_list_jobs,
+ ),
+ JobsTool(
+ name="get_job",
+ description="Get a job by ID.",
+ input_schema=GetJobInput.model_json_schema(),
+ func=_get_job,
+ )]
\ No newline at end of file
diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py
new file mode 100644
index 0000000..295f1fe
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/sql_query.py
@@ -0,0 +1,111 @@
+import os
+import json
+import logging
+from typing import Union
+from pydantic import BaseModel, Field
+from pydantic.json import pydantic_encoder
+
+from databricks.sql import connect
+from mcp.types import TextContent, Tool as ToolSpec
+
+from developer_tools_mcp.tools.base_tool import BaseTool
+
+# Logger
+LOGGER = logging.getLogger(__name__)
+
+# --- Input Schemas ---
+
+class SqlQueryInput(BaseModel):
+ query: str = Field(..., description="The SQL query to execute")
+
+
+# --- Tool Implementations ---
+
+def _run_sql_query(client, args) -> list[TextContent]:
+ model = SqlQueryInput.model_validate(args)
+
+ try:
+ # Connect to SQL warehouse
+ if not all([os.getenv("DATABRICKS_HOST"), os.getenv("DATABRICKS_TOKEN"), os.getenv("DATABRICKS_HTTP_PATH")]):
+ raise ValueError("Missing required Databricks connection details in environment variables")
+
+ sql_connection = connect(
+ server_hostname=os.getenv("DATABRICKS_HOST"),
+ http_path=os.getenv("DATABRICKS_HTTP_PATH"),
+ access_token=os.getenv("DATABRICKS_TOKEN")
+ )
+
+ cursor = sql_connection.cursor()
+ result = cursor.execute(model.query)
+
+ if result.description:
+ columns = [col[0] for col in result.description]
+ rows = result.fetchall()
+
+ if not rows:
+ cursor.close()
+ sql_connection.close()
+ return [
+ TextContent(
+ type="text",
+ text="Query executed successfully. No results returned."
+ )
+ ]
+
+ # Format as markdown table
+ table = "| " + " | ".join(columns) + " |\n"
+ table += "| " + " | ".join(["---" for _ in columns]) + " |\n"
+ for row in rows:
+ table += "| " + " | ".join([str(cell) for cell in row]) + " |\n"
+
+ cursor.close()
+ sql_connection.close()
+
+ return [
+ TextContent(
+ type="text",
+ text=table
+ )
+ ]
+ else:
+ cursor.close()
+ sql_connection.close()
+ return [
+ TextContent(
+ type="text",
+ text="Query executed successfully. No results returned."
+ )
+ ]
+
+ except Exception as e:
+ LOGGER.error(f"Error executing SQL query: {e}")
+ return [
+ TextContent(
+ type="text",
+ text=f"Error executing SQL query: {str(e)}"
+ )
+ ]
+
+
+# --- Tool Registry ---
+
+class SqlQueryTool(BaseTool):
+ def __init__(self, name, description, input_schema, func):
+ self.func = func
+ tool_spec = ToolSpec(
+ name=name,
+ description=description,
+ inputSchema=input_schema,
+ )
+ super().__init__(tool_spec)
+
+ def execute(self, **kwargs):
+ return self.func(client=None, args=kwargs)
+
+def sql_query_tool() -> list[SqlQueryTool]:
+ return [SqlQueryTool(
+ name="run_sql_query",
+ description="Execute SQL queries on Databricks SQL warehouse and return results as a markdown table.",
+ input_schema=SqlQueryInput.model_json_schema(),
+ func=_run_sql_query,
+ )]
diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py
new file mode 100644
index 0000000..299d4eb
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/tools/test_connection.py
@@ -0,0 +1,115 @@
+import os
+import json
+import logging
+import requests
+from typing import Union, Dict
+from pydantic import BaseModel
+
+from databricks.sdk import WorkspaceClient
+from databricks.sql import connect
+from mcp.types import TextContent, Tool as ToolSpec
+
+from developer_tools_mcp.tools.base_tool import BaseTool
+
+# Logger
+LOGGER = logging.getLogger(__name__)
+
+# --- Input Schemas ---
+
+class TestConnectionInput(BaseModel):
+ pass
+
+# --- Tool Implementations ---
+
+def _test_connection(client, args) -> list[TextContent]:
+ model = TestConnectionInput.model_validate(args)
+
+ results = {
+ "databricks_api": False,
+ "sql_warehouse": False,
+ "host": os.getenv("DATABRICKS_HOST", "Not set"),
+ "token": os.getenv("DATABRICKS_TOKEN", "Not set"),
+ "http_path": os.getenv("DATABRICKS_HTTP_PATH", "Not set"),
+ "details": {}
+ }
+
+ # Test 1: Databricks API
+ try:
+ # Test Databricks API access
+ me = client.current_user.me()
+ results["databricks_api"] = True
+ results["details"]["current_user"] = me.user_name
+ results["details"]["user_info"] = me.as_dict()
+ except Exception as e:
+ LOGGER.error(f"Error connecting to Databricks API: {e}")
+ results["details"]["api_error"] = str(e)
+
+ # Test 2: Databricks SQL Warehouse
+ if "Not set" not in [results["host"], results["token"], results["http_path"]]:
+ try:
+ # Connect to SQL warehouse and execute a simple query
+ sql_connection = connect(
+ server_hostname=os.getenv("DATABRICKS_HOST"),
+ http_path=os.getenv("DATABRICKS_HTTP_PATH"),
+ access_token=os.getenv("DATABRICKS_TOKEN"),
+ _socket_timeout=10 #TODO: This is not actually timing out the connection
+ )
+ cursor = sql_connection.cursor()
+ cursor.execute("SELECT 1 AS test_value")
+ result = cursor.fetchall()
+ cursor.close()
+ sql_connection.close()
+
+ results["sql_warehouse"] = True
+ results["details"]["sql_test_query"] = "Successfully executed test query: SELECT 1"
+ results["details"]["sql_result"] = str(result)
+
+
+ except Exception as e:
+ LOGGER.error(f"Error connecting to Databricks SQL Warehouse: {e}")
+ results["details"]["sql_error"] = str(e)
+
+ # Summarize overall status
+ if results["databricks_api"]:
+ if results.get("sql_warehouse", False):
+ results["status"] = "Success"
+ results["message"] = "All connections successful"
+ else:
+ results["status"] = "Partial Success"
+ results["message"] = "API connected, but SQL Warehouse connection failed"
+ else:
+ results["status"] = "Failed"
+ results["message"] = "Unable to connect to Databricks"
+
+ return [
+ TextContent(
+ type="text",
+ text=json.dumps(results),
+ )
+ ]
+
+# --- Tool Registry ---
+
+class TestConnectionTool(BaseTool):
+ def __init__(self, name, description, input_schema, func):
+ self.func = func
+ tool_spec = ToolSpec(
+ name=name,
+ description=description,
+ inputSchema=input_schema,
+ )
+ super().__init__(tool_spec)
+
+ def execute(self, **kwargs):
+ return self.func(client=WorkspaceClient(
+ host=os.getenv("DATABRICKS_HOST"),
+ token=os.getenv("DATABRICKS_TOKEN")
+ ), args=kwargs)
+
+def test_connection_tool() -> list[TestConnectionTool]:
+ return [TestConnectionTool(
+ name="test_connection",
+ description="Tests Databricks connections (API and SQL Warehouse).",
+ input_schema=TestConnectionInput.model_json_schema(),
+ func=_test_connection,
+ )]
\ No newline at end of file
diff --git a/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/version.py b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/version.py
new file mode 100644
index 0000000..ddf219d
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/src/developer_tools_mcp/version.py
@@ -0,0 +1 @@
+VERSION = "0.1.0"
\ No newline at end of file
diff --git a/src/databricks/labs/mcp/servers/developer_tools/uv.lock b/src/databricks/labs/mcp/servers/developer_tools/uv.lock
new file mode 100644
index 0000000..6e169a6
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/developer_tools/uv.lock
@@ -0,0 +1,826 @@
+version = 1
+revision = 2
+requires-python = ">=3.10"
+resolution-markers = [
+ "python_full_version >= '3.13'",
+ "python_full_version == '3.12.*'",
+ "python_full_version == '3.11.*'",
+ "python_full_version < '3.11'",
+]
+
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+ { name = "sniffio" },
+ { name = "typing-extensions", marker = "python_full_version < '3.13'" },
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+wheels = [
+ { url = "https://files.pythonhosted.org/packages/8b/54/b1ae86c0973cc6f0210b53d508ca3641fb6d0c56823f288d108bc7ab3cc8/typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c", size = 45806, upload_time = "2025-04-10T14:19:03.967Z" },
+]
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+[[package]]
+name = "typing-inspection"
+version = "0.4.0"
+source = { registry = "https://pypi.org/simple" }
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+ { name = "typing-extensions" },
+]
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+wheels = [
+ { url = "https://files.pythonhosted.org/packages/31/08/aa4fdfb71f7de5176385bd9e90852eaf6b5d622735020ad600f2bab54385/typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f", size = 14125, upload_time = "2025-02-25T17:27:57.754Z" },
+]
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+[[package]]
+name = "tzdata"
+version = "2025.2"
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+wheels = [
+ { url = "https://files.pythonhosted.org/packages/5c/23/c7abc0ca0a1526a0774eca151daeb8de62ec457e77262b66b359c3c7679e/tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8", size = 347839, upload_time = "2025-03-23T13:54:41.845Z" },
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+[[package]]
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+version = "2.4.0"
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+ { url = "https://files.pythonhosted.org/packages/6b/11/cc635220681e93a0183390e26485430ca2c7b5f9d33b15c74c2861cb8091/urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813", size = 128680, upload_time = "2025-04-10T15:23:37.377Z" },
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+[[package]]
+name = "uvicorn"
+version = "0.34.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "click" },
+ { name = "h11" },
+ { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+]
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+wheels = [
+ { url = "https://files.pythonhosted.org/packages/b1/4b/4cef6ce21a2aaca9d852a6e84ef4f135d99fcd74fa75105e2fc0c8308acd/uvicorn-0.34.2-py3-none-any.whl", hash = "sha256:deb49af569084536d269fe0a6d67e3754f104cf03aba7c11c40f01aadf33c403", size = 62483, upload_time = "2025-04-19T06:02:48.42Z" },
+]
diff --git a/servers/unity_catalog/src/unitycatalog_mcp/__init__.py b/src/databricks/labs/mcp/servers/unity_catalog/__init__.py
similarity index 73%
rename from servers/unity_catalog/src/unitycatalog_mcp/__init__.py
rename to src/databricks/labs/mcp/servers/unity_catalog/__init__.py
index 1b0a65b..e2f3f7e 100644
--- a/servers/unity_catalog/src/unitycatalog_mcp/__init__.py
+++ b/src/databricks/labs/mcp/servers/unity_catalog/__init__.py
@@ -1,7 +1,7 @@
import sys
from traceback import format_exc
-from unitycatalog_mcp.server import start
-from unitycatalog_mcp.version import VERSION
+from databricks.labs.mcp.servers.unity_catalog.server import start
+from databricks.labs.mcp._version import __version__ as VERSION
from databricks.sdk.config import with_user_agent_extra
diff --git a/src/databricks/labs/mcp/servers/unity_catalog/__main__.py b/src/databricks/labs/mcp/servers/unity_catalog/__main__.py
new file mode 100644
index 0000000..21e0fe7
--- /dev/null
+++ b/src/databricks/labs/mcp/servers/unity_catalog/__main__.py
@@ -0,0 +1,5 @@
+from databricks.labs.mcp.servers.unity_catalog import main
+
+
+if __name__ == "__main__":
+ main()
diff --git a/servers/unity_catalog/src/unitycatalog_mcp/cli.py b/src/databricks/labs/mcp/servers/unity_catalog/cli.py
similarity index 100%
rename from servers/unity_catalog/src/unitycatalog_mcp/cli.py
rename to src/databricks/labs/mcp/servers/unity_catalog/cli.py
diff --git a/servers/unity_catalog/src/unitycatalog_mcp/server.py b/src/databricks/labs/mcp/servers/unity_catalog/server.py
similarity index 88%
rename from servers/unity_catalog/src/unitycatalog_mcp/server.py
rename to src/databricks/labs/mcp/servers/unity_catalog/server.py
index 100b7e4..6a96b3a 100644
--- a/servers/unity_catalog/src/unitycatalog_mcp/server.py
+++ b/src/databricks/labs/mcp/servers/unity_catalog/server.py
@@ -4,15 +4,15 @@
from mcp.server import NotificationOptions, Server
from mcp.server.stdio import stdio_server
from mcp.types import Tool as ToolSpec
-from unitycatalog_mcp.tools import (
+from databricks.labs.mcp.servers.unity_catalog.tools import (
list_all_tools,
Content,
)
-from unitycatalog_mcp.cli import get_settings
+from databricks.labs.mcp.servers.unity_catalog.cli import get_settings
-from unitycatalog_mcp.tools.base_tool import BaseTool
-from unitycatalog_mcp.version import VERSION
+from databricks.labs.mcp.servers.unity_catalog.tools.base_tool import BaseTool
+from databricks.labs.mcp._version import __version__ as VERSION
# The logger instance for this module.
LOGGER = logging.getLogger(__name__)
diff --git a/servers/unity_catalog/src/unitycatalog_mcp/tools/__init__.py b/src/databricks/labs/mcp/servers/unity_catalog/tools/__init__.py
similarity index 55%
rename from servers/unity_catalog/src/unitycatalog_mcp/tools/__init__.py
rename to src/databricks/labs/mcp/servers/unity_catalog/tools/__init__.py
index 567b08f..87c6c80 100644
--- a/servers/unity_catalog/src/unitycatalog_mcp/tools/__init__.py
+++ b/src/databricks/labs/mcp/servers/unity_catalog/tools/__init__.py
@@ -5,9 +5,13 @@
EmbeddedResource,
)
-from unitycatalog_mcp.tools.genie import list_genie_tools
-from unitycatalog_mcp.tools.functions import list_uc_function_tools
-from unitycatalog_mcp.tools.vector_search import list_vector_search_tools
+from databricks.labs.mcp.servers.unity_catalog.tools.genie import list_genie_tools
+from databricks.labs.mcp.servers.unity_catalog.tools.functions import (
+ list_uc_function_tools,
+)
+from databricks.labs.mcp.servers.unity_catalog.tools.vector_search import (
+ list_vector_search_tools,
+)
Content: TypeAlias = Union[TextContent, ImageContent, EmbeddedResource]
diff --git a/servers/unity_catalog/src/unitycatalog_mcp/tools/base_tool.py b/src/databricks/labs/mcp/servers/unity_catalog/tools/base_tool.py
similarity index 100%
rename from servers/unity_catalog/src/unitycatalog_mcp/tools/base_tool.py
rename to src/databricks/labs/mcp/servers/unity_catalog/tools/base_tool.py
diff --git a/servers/unity_catalog/src/unitycatalog_mcp/tools/functions.py b/src/databricks/labs/mcp/servers/unity_catalog/tools/functions.py
similarity index 95%
rename from servers/unity_catalog/src/unitycatalog_mcp/tools/functions.py
rename to src/databricks/labs/mcp/servers/unity_catalog/tools/functions.py
index 8e7a46a..4ce14f7 100644
--- a/servers/unity_catalog/src/unitycatalog_mcp/tools/functions.py
+++ b/src/databricks/labs/mcp/servers/unity_catalog/tools/functions.py
@@ -1,7 +1,7 @@
import logging
from mcp.types import Tool as ToolSpec, TextContent
-from unitycatalog_mcp.tools.base_tool import BaseTool
+from databricks.labs.mcp.servers.unity_catalog.tools.base_tool import BaseTool
from unitycatalog.ai.core.databricks import DatabricksFunctionClient
from databricks_openai import UCFunctionToolkit
diff --git a/servers/unity_catalog/src/unitycatalog_mcp/tools/genie.py b/src/databricks/labs/mcp/servers/unity_catalog/tools/genie.py
similarity index 99%
rename from servers/unity_catalog/src/unitycatalog_mcp/tools/genie.py
rename to src/databricks/labs/mcp/servers/unity_catalog/tools/genie.py
index 9e7ffe1..0a46d8f 100644
--- a/servers/unity_catalog/src/unitycatalog_mcp/tools/genie.py
+++ b/src/databricks/labs/mcp/servers/unity_catalog/tools/genie.py
@@ -9,7 +9,7 @@
from databricks.sdk import WorkspaceClient
from mcp.types import TextContent, Tool as ToolSpec
-from unitycatalog_mcp.tools.base_tool import BaseTool
+from databricks.labs.mcp.servers.unity_catalog.tools.base_tool import BaseTool
# Logger
LOGGER = logging.getLogger(__name__)
diff --git a/servers/unity_catalog/src/unitycatalog_mcp/tools/vector_search.py b/src/databricks/labs/mcp/servers/unity_catalog/tools/vector_search.py
similarity index 96%
rename from servers/unity_catalog/src/unitycatalog_mcp/tools/vector_search.py
rename to src/databricks/labs/mcp/servers/unity_catalog/tools/vector_search.py
index cbcbf72..3431091 100644
--- a/servers/unity_catalog/src/unitycatalog_mcp/tools/vector_search.py
+++ b/src/databricks/labs/mcp/servers/unity_catalog/tools/vector_search.py
@@ -7,7 +7,7 @@
from mcp.types import Tool as ToolSpec, TextContent
-from unitycatalog_mcp.tools.base_tool import BaseTool
+from databricks.labs.mcp.servers.unity_catalog.tools.base_tool import BaseTool
class VectorSearchTool(BaseTool):
diff --git a/servers/unity_catalog/tests/conftest.py b/tests/conftest.py
similarity index 64%
rename from servers/unity_catalog/tests/conftest.py
rename to tests/conftest.py
index 869fda7..0da85ea 100644
--- a/servers/unity_catalog/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,5 +1,5 @@
import pytest
-from unitycatalog_mcp.cli import get_settings, CliSettings
+from databricks.labs.mcp.servers.unity_catalog.cli import get_settings, CliSettings
@pytest.fixture(autouse=True)
diff --git a/servers/unity_catalog/tests/test_cli.py b/tests/test_cli.py
similarity index 97%
rename from servers/unity_catalog/tests/test_cli.py
rename to tests/test_cli.py
index d131585..2c00795 100644
--- a/servers/unity_catalog/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -2,7 +2,7 @@
import pytest
from pydantic import ValidationError
from unittest.mock import patch
-from unitycatalog_mcp.cli import get_settings
+from databricks.labs.mcp.servers.unity_catalog.cli import get_settings
@pytest.mark.parametrize(
diff --git a/servers/unity_catalog/tests/test_functions.py b/tests/test_functions.py
similarity index 86%
rename from servers/unity_catalog/tests/test_functions.py
rename to tests/test_functions.py
index ca8d0d1..24b6aac 100644
--- a/servers/unity_catalog/tests/test_functions.py
+++ b/tests/test_functions.py
@@ -1,7 +1,10 @@
from unittest import mock
import pytest
-from unitycatalog_mcp.tools.functions import list_uc_function_tools, UCFunctionTool
+from databricks.labs.mcp.servers.unity_catalog.tools.functions import (
+ list_uc_function_tools,
+ UCFunctionTool,
+)
SCHEMA_FULL_NAME = "catalog.schema"
@@ -51,9 +54,13 @@ class DummySettings:
@mock.patch(
- "unitycatalog_mcp.tools.functions.DatabricksFunctionClient", new=DummyClient
+ "databricks.labs.mcp.servers.unity_catalog.tools.functions.DatabricksFunctionClient",
+ new=DummyClient,
+)
+@mock.patch(
+ "databricks.labs.mcp.servers.unity_catalog.tools.functions.UCFunctionToolkit",
+ new=DummyToolkit,
)
-@mock.patch("unitycatalog_mcp.tools.functions.UCFunctionToolkit", new=DummyToolkit)
def test_list_uc_function_tools():
settings = DummySettings()
tools = list_uc_function_tools(settings)
diff --git a/servers/unity_catalog/tests/test_genie.py b/tests/test_genie.py
similarity index 87%
rename from servers/unity_catalog/tests/test_genie.py
rename to tests/test_genie.py
index 71d784d..4257511 100644
--- a/servers/unity_catalog/tests/test_genie.py
+++ b/tests/test_genie.py
@@ -1,5 +1,9 @@
from pydantic import BaseModel
-from unitycatalog_mcp.tools.genie import list_genie_tools, GenieTool, dump_json
+from databricks.labs.mcp.servers.unity_catalog.tools.genie import (
+ list_genie_tools,
+ GenieTool,
+ dump_json,
+)
from unittest import mock
@@ -59,7 +63,10 @@ class DummyWorkspaceClient:
pass
-@mock.patch("unitycatalog_mcp.tools.genie.WorkspaceClient", new=DummyWorkspaceClient)
+@mock.patch(
+ "databricks.labs.mcp.servers.unity_catalog.tools.genie.WorkspaceClient",
+ new=DummyWorkspaceClient,
+)
def test_genie_tool_execute():
mock_func = mock.Mock()
mock_func.return_value = [mock.Mock(text="hello world")]
diff --git a/servers/unity_catalog/tests/test_vector_search.py b/tests/test_vector_search.py
similarity index 84%
rename from servers/unity_catalog/tests/test_vector_search.py
rename to tests/test_vector_search.py
index 4cc85e0..dd25f8e 100644
--- a/servers/unity_catalog/tests/test_vector_search.py
+++ b/tests/test_vector_search.py
@@ -1,5 +1,5 @@
from unittest import mock
-from unitycatalog_mcp.tools.vector_search import (
+from databricks.labs.mcp.servers.unity_catalog.tools.vector_search import (
_list_vector_search_tools,
list_vector_search_tools,
VectorSearchTool,
@@ -32,9 +32,12 @@ class DummySettings:
@mock.patch(
- "unitycatalog_mcp.tools.vector_search.WorkspaceClient", new=DummyWorkspaceClient
+ "databricks.labs.mcp.servers.unity_catalog.tools.vector_search.WorkspaceClient",
+ new=DummyWorkspaceClient,
+)
+@mock.patch(
+ "databricks.labs.mcp.servers.unity_catalog.tools.vector_search.VectorSearchRetrieverTool"
)
-@mock.patch("unitycatalog_mcp.tools.vector_search.VectorSearchRetrieverTool")
def test_list_vector_search_tools_filters_and_returns_expected(
MockVectorSearchRetrieverTool,
):
@@ -52,7 +55,7 @@ def test_list_vector_search_tools_filters_and_returns_expected(
def test_internal_list_vector_search_tools_direct():
with mock.patch(
- "unitycatalog_mcp.tools.vector_search.VectorSearchRetrieverTool"
+ "databricks.labs.mcp.servers.unity_catalog.tools.vector_search.VectorSearchRetrieverTool"
) as MockVectorSearchRetrieverTool:
MockVectorSearchRetrieverTool.side_effect = lambda index_name: mock.Mock(
tool={
diff --git a/servers/unity_catalog/uv.lock b/uv.lock
similarity index 60%
rename from servers/unity_catalog/uv.lock
rename to uv.lock
index 15dac59..a5945ea 100644
--- a/servers/unity_catalog/uv.lock
+++ b/uv.lock
@@ -1,5 +1,4 @@
version = 1
-revision = 1
requires-python = ">=3.10"
resolution-markers = [
"python_full_version >= '3.12' and sys_platform != 'win32'",
@@ -12,16 +11,16 @@ resolution-markers = [
[[package]]
name = "aiohappyeyeballs"
-version = "2.4.4"
+version = "2.6.1"
source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/7f/55/e4373e888fdacb15563ef6fa9fa8c8252476ea071e96fb46defac9f18bf2/aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", size = 21977 }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760 }
wheels = [
- { url = "https://files.pythonhosted.org/packages/b9/74/fbb6559de3607b3300b9be3cc64e97548d55678e44623db17820dbd20002/aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8", size = 14756 },
+ { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265 },
]
[[package]]
name = "aiohttp"
-version = "3.11.11"
+version = "3.11.18"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiohappyeyeballs" },
@@ -33,68 +32,72 @@ dependencies = [
{ name = "propcache" },
{ name = "yarl" },
]
-sdist = { url = "https://files.pythonhosted.org/packages/fe/ed/f26db39d29cd3cb2f5a3374304c713fe5ab5a0e4c8ee25a0c45cc6adf844/aiohttp-3.11.11.tar.gz", hash = "sha256:bb49c7f1e6ebf3821a42d81d494f538107610c3a705987f53068546b0e90303e", size = 7669618 }
-wheels = [
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- { url = "https://files.pythonhosted.org/packages/09/b8/aeb4975d5bba233d6f246941f5957a5ad4e3def8b0855a72742e391925f2/aiohttp-3.11.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b4fa1cb5f270fb3eab079536b764ad740bb749ce69a94d4ec30ceee1b5940d5", size = 468430 },
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