semvec/pypi-packages huggingface dataset:
org-mcp 0.2.0
A python-based MCP server for your local org mode files
Requires Python: >=3.11

# org-mcp

A python-based MCP server for your local org mode files.
Allows access to your org notes, agenda, and TODOs.

<a href="https://github.com/andyreagan/org-mcp/actions/workflows/python-test-publish.yml"><img src="https://github.com/andyreagan/org-mcp/actions/workflows/python-test-publish.yml/badge.svg" alt="Tests"></a> <a href="https://badge.fury.io/py/org-mcp"><img src="https://badge.fury.io/py/org-mcp.svg" alt="PyPI version"></a>

## Tools

- List org files
- Read file headings
- Read specific heading in file
- Read whole file
- Search for documents matching a specified text query across all files in the
  vault (including the ID link), returns matching files/headings
- Add new file
- Add new heading to existing file  
- Read agenda and TODOs from org's =M-x org-agenda n=
- Modify heading

## Example prompt

- What does my day look like today?
- What are the most important things for me to work on right now?
- Based on my long term career and personal goals, what suggestions would a
  coach give me? E.g., reprioritizing open TODOs, specific actions to take.

## Adding to Claude Desktop

In general, follow the instructions from Anthropic.

For development:

```
{
  "mcpServers": {
    "org-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "<dir_to>/org-mcp",
        "run",
        "org-mcp"
      ]
    }
  }
}
```

To use the published version

```
{
  "mcpServers": {
    "org-mcp": {
      "command": "uvx",
      "args": [
        "org-mcp"
      ],
      "env": {
        "ORG_DIR" : "<YOUR_ORG_DIR>"
      }
    }
  }
}
```
groupify 0.1.19
Automatically generates random groups from a class list.
Requires Python: >=3.7

# `groupify`
`groupify` is a Python package for automatically creating random groups in the classroom from a classlist. 

> NOTE: there is currently no way to ensure that Newton and Leibniz are not in the same group. They must cooperate if necessary.


## Installation

To install on Unix/Linux:

```bash
pip install groupify
```

To install in an IDE simply search for the package `groupify` and install it.

## Basic examples

### Example 1

```python
import groupify

classlist = "sample_class.txt"

groupify.create(
    classlist=classlist,
    group_size=4,
)

groupify.savefig(dirname="../figures/", fname="example_1.svg")

groupify.show()
```

This will generate the following groups (randomly):

![example 1](https://raw.githubusercontent.com/reneaas/groupify/refs/heads/main/examples/figures/example_1.svg)


### Example 2

If some students are absent, you can specify them in the `absent` parameter to exclude them from the list of students before creating the groups.

```python
import groupify

classlist = "sample_class.txt"

absent = [
    "Einstein",  # Busy dreaming about light
    "Feynman",  # Busy pick-locking government secrets
    "Hilbert",  # Busy trying to one-up Einstein on GR
    "Schrödinger",  # Uncertain if he's here or not – we'll exlude him to be sure
]

groupify.create(
    classlist=classlist,
    group_size=4,
    absent=absent,  # Removes them from the list before creating the groups
)

groupify.savefig(dirname="../figures/", fname="example_2.svg")

groupify.show()
```

This will generate the following groups (randomly):

![example 2](https://raw.githubusercontent.com/reneaas/groupify/refs/heads/main/examples/figures/example_2.svg)




### Example 3

```python
import groupify

classlist = "sample_class.txt"

groupify.create(
    classlist=classlist,
    group_size=3,
)

groupify.savefig(dirname="../figures/", fname="example_3.svg")

groupify.show()
```

This will generate the following groups (randomly):

![example 3](https://raw.githubusercontent.com/reneaas/groupify/refs/heads/main/examples/figures/example_3.svg)


### Example 4

```python
import groupify

classlist = "sample_class.txt"

groupify.create(
    classlist=classlist,
    group_size=2,
)

groupify.savefig(dirname="../figures/", fname="example_4.svg")

groupify.show()
```

This will generate the following groups (randomly):

![example 4](https://raw.githubusercontent.com/reneaas/groupify/refs/heads/main/examples/figures/example_4.svg)
tardys3-generator 0.1.1
A TARDyS3 reservation file generator and validator for CBRS P-DPAs.
Requires Python: >=3.7

# TardyS3 file generator

A simple TardyS3 reservation file generator. The TARDyS3 (Telecommunications Advanced Research and Dynamic Spectrum Sharing System) is an automated scheduling system developed by the U.S. Department of Defense (DoD) to manage spectrum use in the 3.5 GHz band. It replaces the previous manual scheduling portal used to activate Portal-Activated Dynamic Protection Areas (P-DPAs), which protect certain federal operations from interference by Citizens Broadband Radio Service (CBRS) users.

Why is TARDyS3 Important?
Automation & Efficiency – It allows federal spectrum managers to schedule protected spectrum use autonomously, reducing delays and improving coordination.
Compatibility – The system is designed to work seamlessly with Spectrum Access Systems (SAS) that manage CBRS spectrum allocations.
Protection of Military Operations – It ensures military testing and operations in the 3.5 GHz band remain protected from commercial interference.
Regulatory Compliance – The FCC has mandated that all SAS administrators must transition from the manual system to TARDyS3.
This system is critical for dynamic spectrum sharing, balancing federal and commercial use of the mid-band spectrum, which is essential for 5G and other wireless services.

## Installation
```
pip install tardys3-generator
```

To run from source
```python
python3 tardys3_generator.py
```