semvec/pypi-packages huggingface dataset:
eastnine01 1.0.5
sample mcp tool
License: MIT
Requires Python: >=3.13

# eastnine01

A sample MCP (Model Context Protocol) server that provides an echo tool.

## Features

- **Echo Tool**: Returns the input message with additional text

## Installation

```bash
pip install eastnine01
```

## Usage

Run the MCP server:

```bash
eastnine01
```

Or run as a module:

```bash
python -m eastnine01
```

## Tools

### echo

Returns the input message with additional Korean text.

**Parameters:**
- `message` (str): The message to echo

**Returns:**
- str: The input message with " 라는 메시지가 입력 되었습니다" appended

## Requirements

- Python >= 3.13
- mcp[cli] >= 1.12.4

## License

MIT
read-acq 1.2.0
Read/Write ACQ Spectrum Files
License: MIT
Requires Python: >=3.11

# read-acq

**Read EDGES ACQ spectrum files.**

[![image](https://travis-ci.org/edges-collab/read_acq.svg?branch=master)](https://travis-ci.org/edges-collab/read_acq)

[![image](https://codecov.io/gh/edges-collab/read_acq/branch/master/graph/badge.svg)](https://travis-ci.org/edges-collabcodecov.io/gh/edges-collab/read_acq)

[![image](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

## Installation

In a new/existing python environment, run `pip install
git+https://github.com/edges-collab/read_acq`.

If you wish to develop `read_acq`, do the following:

    git clone https://github.com/edges-collab/read_acq
    cd read_acq
    pip install -e .

## Usage

`read_acq` can be used in a Python interpreter or directly via the
command line.

### CLI

To use the CLI, a single command is provided:

> acq convert \<data.acq\> \[\<data2.acq\> ...\] \[-f format1 \[-f
> format2\]\]

This will convert the file(s) provided to all formats provided, and
place any resulting files in the same location as the original
datafile(s) (but with different extension). The default format is 'mat'.
The command can be run from anywhere on the system, and the file given
can be a relative or absolute path.

Multiple data files can be given, and each will be converted. Wildcards
may also be used in any of the filenames, eg.:

    acq convert data/*.acq

### Library

The main point of entry for the Python interface is `decode_file`:

    >>> from read_acq import decode_file
    >>> data = decode_file("my_data.acq", write_formats=[])

By default, this function will also write the file in `.mat` format, but
you can turn that off by providing `write_formats=[]`. The output is a
`numpy` array of the data. Several more options are provided, use
`help(decode_file)` in an interpreter to see all the options.