semvec/pypi-packages huggingface dataset:
monodikit 0.0.10
MonodiKit is a Python library designed to facilitate the analysis and processing of medieval chant documents. It was specifically tailored to handle data in the monodi+ data format as edited by the Corpus Monodicum project. The library offers a set of classes that provide a wide range of functionalities, including parsing and processing of chant documents, exploring their hierarchical structure, managing metadata, generating musical notation, and extracting relevant information.
License: MIT
Requires Python: >=3.8

# MonodiKit: Medieval Chant Document Analysis and Processing
MonodiKit is a Python library designed to facilitate the analysis 
and processing of medieval chant documents. It was specifically 
tailored to handle data in the monodi+ data format as edited 
by the Corpus Monodicum project. 
The library offers a set of classes that 
provide a wide range of functionalities, 
including parsing and processing of chant documents, 
exploring their hierarchical structure, 
managing metadata, generating musical notation, 
and extracting relevant information.

See [Documentation](https://timeipert.github.io/MonodiKit/)


## Key Features
* Parsing and processing of medieval chant documents.
* Access to the hierarchical structure of chant documents.
* Management of metadata associated with chant documents.
* Export to MEI, Volpiano and JSON.
* Extraction of relevant information.

## Usage
To use MonodiKit, follow these steps:

Install monodikit from pip:

```bash
pip install monodikit
```
Import the MonodiKit library into your Python project:

```python
import monodikit
```

If you want to use the data published by Corpus monodicum, you have to download it from [OSF](https://doi.org/10.17605/OSF.IO/MFPKD).
Now you can load the data into monodikit with:

```python
corpus = monodikit.Corpus("./data/*")
print(len(corpus.documents))
```

## Examples
Check out [Examples.md](https://github.com/timeipert/MonodiKit/blob/main/Examples.md) for more examples.

## Version History
* 0.0.1
    * Initial Release
* 0.0.2
  * Updated Data Structure and Exception Handling
* 0.0.3
  * Better Volpiano Support
* 0.0.4
  * Changed MAFFT configuration
  * Supports matrixfile in MAFFT
* 0.0.5
  * Minor Bugfix: Error Handling of Volpiano Parsing
universal-mcp-rocketlane 0.1.6
A Universal MCP Application: universal_mcp_rocketlane
License: MIT
Requires Python: >=3.11

# Rocketlane Universal MCP Server

This repository contains an implementation of an Rocketlane Universal MCP (Model Context Protocol) server. It provides a standardized interface for interacting with Rocketlane's SEO and backlink analysis tools through a unified API.

The server is built using the Universal MCP framework.

This implementation follows the MCP specification, ensuring compatibility with other MCP-compliant services and tools.

## Usage

You can start using Rocketlane directly from [agentr.dev](https://agentr.dev). Visit [agentr.dev/apps](https://agentr.dev/apps) and enable Rocketlane.

If you have not used universal mcp before follow the setup instructions at [agentr.dev/quickstart](https://agentr.dev/quickstart)

## Available Tools

The full list of available tools is at [./src/universal_mcp_rocketlane/README.md](./src/universal_mcp_rocketlane/README.md)

## Local Development

### 📋 Prerequisites

Ensure you have the following before you begin:

- **Python 3.11+** (recommended)
- **[uv](https://github.com/astral-sh/uv)** (install globally with `pip install uv`)

### 🛠️ Setup Instructions

Follow the steps below to set up your development environment:

1. **Sync Project Dependencies**

   ```bash
   uv sync
   ```

   This installs all dependencies from `pyproject.toml` into a local virtual environment (`.venv`).

2. **Activate the Virtual Environment**

   For Linux/macOS:

   ```bash
   source .venv/bin/activate
   ```

   For Windows (PowerShell):

   ```powershell
   .venv\Scripts\Activate
   ```

3. **Start the MCP Inspector**

   ```bash
   mcp dev src/universal_mcp_rocketlane/server.py
   ```

   This will start the MCP inspector. Make note of the address and port shown in the console output.

4. **Install the Application**
   ```bash
   mcp install src/universal_mcp_rocketlane/server.py
   ```

## 📁 Project Structure

```text
.
├── src/
│   └── universal_mcp_rocketlane/
│       ├── __init__.py       # Package initializer
│       ├── server.py            # Server entry point
│       ├── app.py            # Application tools
│       └── README.md         # List of application tools
├── tests/                    # Test suite
├── .env                      # Environment variables for local development
├── pyproject.toml            # Project configuration
└── README.md                 # This file
```

## 📄 License

This project is licensed under the [MIT License](LICENSE).

---

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