semvec/pypi-packages huggingface dataset:
mcp-cube-server 0.0.2
MCP server for interfacing with Cube.dev REST API
Requires Python: >=3.11

# Snowflake Cube Server

[![smithery badge](https://smithery.ai/badge/@isaacwasserman/mcp_cube_server)](https://smithery.ai/server/@isaacwasserman/mcp_cube_server)

MCP Server for Interacting with Cube Semantic Layers

## Resources

### `context://data_description`
Contains a description of the data available in the Cube deployment. This is an application controlled version of the `describe_data` tool.

### `data://{data_id}`
Contains the data returned by a `read_data` call in JSON format. This resource is meant for MCP clients that wish to format or otherwise process the output of tool calls. See [`read_data`](#read_data) for more.

## Tools

### `read_data`
Accepts a query to the Cube REST API and returns the data in YAML along with a unique identifier for the data returned. This identifier can be used to a retrieve a JSON representation of the data from the resource `data://{data_id}`. See [`data://{data_id}`](#datadata_id) for more.

### `describe_data`
Describes the data available in the Cube deployment. This is an agentic version of the `context://data_description` resource.
farm-ng-amiga 2.3.4
Amiga development kit for third party hardware or software extensions
Requires Python: >=3.6
Keywords: robotics

# farm-ng-amiga

[![PyPI version](https://badge.fury.io/py/farm-ng-amiga.svg)](https://pypi.org/project/farm-ng-amiga)

## Install

### From pip

```bash
pip install farm-ng-amiga
```

### From source

We recommend running the brain SDK applications in a virtual environment to avoid conflicts with other packages / versions installed on your system.
Though this is not a requirement and you are welcome to decide how/where to install.

Install `pip3` & `virtualenv`:

```bash
sudo apt-get install python3-pip
sudo pip3 install virtualenv
```

Clone the project:

```bash
git clone https://github.com/farm-ng/farm-ng-amiga.git
```

Start a virtual environment:

```bash
# assuming you're already in the farm-ng-amiga/ directory
python3 -m venv venv
source venv/bin/activate
```

Create and install the ``farm_ng``\s (brain) Python package

```bash
# install to system
pip3 install .
```

```bash
# or for development mode
pip3 install -e .[dev]
```