semvec/pypi-packages huggingface dataset:
circuitpython-cirque-pinnacle 2.0.0
A CircuitPython driver for Cirque Pinnacle (1CA027) touch controller used in Cirque Trackpads
License: MIT
Requires Python: >=3.7
Keywords: blinka, circuitpython, raspberrypi, driver, Cirque, Pinnacle, touch, sensor, trackpad


.. image:: https://readthedocs.org/projects/circuitpython-cirque-pinnacle/badge/?version=latest
    :target: https://circuitpython-cirque-pinnacle.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

.. image:: https://github.com/2bndy5/CircuitPython_Cirque_Pinnacle/workflows/Build%20CI/badge.svg
    :target: https://github.com/2bndy5/CircuitPython_Cirque_Pinnacle/actions/
    :alt: Build Status

.. image:: https://img.shields.io/pypi/v/circuitpython-cirque-pinnacle.svg
    :alt: latest version on PyPI
    :target: https://pypi.python.org/pypi/circuitpython-cirque-pinnacle

.. image:: https://static.pepy.tech/personalized-badge/circuitpython-cirque-pinnacle?period=total&units=international_system&left_color=grey&right_color=blue&left_text=Pypi%20Downloads
    :alt: Total PyPI downloads
    :target: https://pepy.tech/project/circuitpython-cirque-pinnacle

A circuitpython library for using the Cirque Glidepoint circle trackpads (as seen in the Steam Controller and Valve\HTC Vive VR controllers).

Read the `Documentation at ReadTheDocs.org <http://circuitpython-cirque-pinnacle.rtfd.io/>`_
ml-orchestrator 0.1.2
kubeflow extension
License: MIT
Requires Python: <=3.13,>=3.9

# Defining Kubeflow Pipeline (KFP) Components with Python Dataclasses

[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ml-orchestrator)](https://pypi.org/project/ml-orchestrator/)
[![version](https://img.shields.io/pypi/v/ml-orchestrator)](https://img.shields.io/pypi/v/ml-orchestrator)
[![License](https://img.shields.io/:license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
![OS](https://img.shields.io/badge/ubuntu-blue?logo=ubuntu)
![OS](https://img.shields.io/badge/win-blue?logo=windows)
![OS](https://img.shields.io/badge/mac-blue?logo=apple)
[![Tests](https://github.com/DanielAvdar/ml-orchestrator/actions/workflows/ci.yml/badge.svg)](https://github.com/DanielAvdar/ml-orchestrator/actions/workflows/ci.yml)
[![Code Checks](https://github.com/DanielAvdar/ml-orchestrator/actions/workflows/code-checks.yml/badge.svg)](https://github.com/DanielAvdar/ml-orchestrator/actions/workflows/code-checks.yml)
[![codecov](https://codecov.io/gh/DanielAvdar/ml-orchestrator/graph/badge.svg?token=N0V9KANTG2)](https://codecov.io/gh/DanielAvdar/ml-orchestrator)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
![Last Commit](https://img.shields.io/github/last-commit/DanielAvdar/ml-orchestrator/main)
## Features

* **Dataclass-Driven Component Definition:** Define component logic using Python dataclasses, seamlessly translating
  them into Kubeflow Pipelines (KFP) compatible functions and components.
* **KFP Agnostic:** Empower developers to design and implement component logic as standard Python code, independent of
  the KFP framework.

## Installation

```bash
pip install ml-orchestrator
```

Note: `ml-orchestrator` is designed to be lightweight and free of external dependencies, ensuring efficient runtime
performance without additional overhead.

Note: `ml-orchestrator` does not require the `kfp` package to parse or create Kubeflow components.

Note: To construct `kfp` pipelines and utilize the components, the `kfp` package is required.

## Usage

please read the [documentation](https://ml-orchestrator.readthedocs.io/en/latest/)
tripo-mcp 0.1.2
MCP (Model Control Protocol) integration for Tripo
License: MIT
Requires Python: >=3.10
Keywords: mcp, blender, 3d, automation

# Tripo MCP Server

Tripo MCP provides an interface between AI assistants and [Tripo AI](https://www.tripo3d.ai) via [Model Context Protocol (MCP)](https://github.com/anthropics/anthropic-cookbook/tree/main/mcp). 

> **Note:** This project is in alpha. Currently, it supports Tripo Blender Addon integration.

## Current Features

- Generate 3D asset from natural language using Tripo's API and import to Blender
- Compatible with Claude and other MCP-enabled AI assistants

## Quick Start

### Prerequisites
- Python 3.10+
- [Blender](https://www.blender.org/download/)
- [Tripo AI Blender Addon](https://www.tripo3d.ai/app/home)
- Claude for Desktop or Cursor IDE

### Installation

1. Install Tripo AI Blender Addon from [Tripo AI's website](https://www.tripo3d.ai/app/home)

2. Configure the MCP server in Claude Desktop or Cursor.

    * `pip install uv`
    * set mcp in cursor
    ```json
    {
      "mcpServers": {
        "tripo-mcp": {
          "command": "uv",
          "args": [
            "tripo-mcp"
          ]
        }
      }
    }
    ```

    * Then you will get a green dot like this:
      ![img](succeed.jpg)

### Usage

1. Enable Tripo AI Blender Addon and start blender mcp server.

2. Chat using cursor or claude. E.g., "Generate a 3D model of a futuristic chair".

## Acknowledgements

- **[Tripo AI](https://www.tripo3d.ai)**
- **[blender-mcp](https://github.com/ahujasid/blender-mcp)** by [Siddharth Ahuja](https://github.com/ahujasid)

**Special Thanks**  
Special thanks to Siddharth Ahuja for the blender-mcp project, which provided inspiring ideas for MCP + 3D.