semvec/pypi-packages huggingface dataset:
coder-interpreter 0.1.6
help users to do code execution. (with code execution, it helps users accomplish tasks in various work scenarios, such as document processing and analysis, etc.)
Requires Python: >=3.10

# coder MCP server

help users to coding and get execute result

## Components

### Resources

The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype

### Prompts

The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
  - Optional "style" argument to control detail level (brief/detailed)
  - Generates prompt combining all current notes with style preference

### Tools

The server implements one tool:
- add-note: Adds a new note to the server
  - Takes "name" and "content" as required string arguments
  - Updates server state and notifies clients of resource changes

## Configuration

[TODO: Add configuration details specific to your implementation]

## Quickstart

### Install

#### Claude Desktop

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

<details>
  <summary>Development/Unpublished Servers Configuration</summary>
  ```
  "mcpServers": {
    "coder": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/shelmin/PycharmProjects/xiaomei-mcp-server/code_interpreter",
        "run",
        "coder"
      ]
    }
  }
  ```
</details>

<details>
  <summary>Published Servers Configuration</summary>
  ```
  "mcpServers": {
    "coder": {
      "command": "uvx",
      "args": [
        "coder"
      ]
    }
  }
  ```
</details>

## Development

### Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:
```bash
uv sync
```

2. Build package distributions:
```bash
uv build
```

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:
```bash
uv publish
```

Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: `--token` or `UV_PUBLISH_TOKEN`
- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

### Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).


You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

```bash
npx @modelcontextprotocol/inspector uv --directory /Users/shelmin/PycharmProjects/xiaomei-mcp-server/code_interpreter run coder
```


Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
pprint-tree 0.0.3
SOME DESCRIPTION
Requires Python: >=3.8


# pprint_tree
prints tree (where nodes have multiple children) in human readable format

# Installation
```
pip install pprint_tree
```

# Quickstart
```python
class Node:
    def __init__(self, val):
        self.val = val
        self.children = []

root = Node("apple")
root.children.append(Node("orange"))
root.children.append(Node("pear"))
root.children.append(Node("pineapple"))
root.children.append(Node("banana"))
root.children[0].children.append(Node("orange1"))
root.children[0].children.append(Node("orange2"))
root.children[1].children.append(Node("pear1"))
root.children[1].children[0].children.append(Node("pear2"))
root.children[1].children[0].children[0].children.append(Node("pear3"))
root.children[1].children[0].children[0].children.append(Node("pear4"))
root.children[2].children.append(Node("kiwi"))
root.children[2].children.append(Node("avocado"))
root.children[2].children.append(Node("cherry tomatoes"))
root.children[2].children.append(Node("golden kiwi"))
root.children[2].children.append(Node("soup"))


from pprint_tree import pprint_tree

pprint_tree(root)

"""
            ____________________________________________apple__________________________________________
            |                        |                                   |                            |
    _____orange_______             pear           ___________________pineapple__________________   banana
    |                |              |             |       |            |              |        |
orange1          orange2         pear1          kiwi  avocado  cherry tomatoes  golden kiwi  soup
                                   |
                             ____pear2_______
                             |              |
                          pear3          pear4
"""
```
MagInv 0.0.1
A Python library for magnetic inversion, including data processing.
Requires Python: >=3.6

# Magnetic inversion

This Python library provides tools for performing geophysical inversions, including magnetic and gravity data processing. The library includes functionality for creating convex hulls, interpolating observed data, and computing inversion matrices.

## Installation

You can install the package via pip:

```bash
pip install Magnetic_inversion
nnthvn 0.8.0
Простая библиотека для работы с числами и строками.
Requires Python: >=3.6

# nnthvn

## Описание
`nnthvn` — это простая библиотека для работы с числами и строками. 
## Реализованные функции
##

(def sum_of_squares(a, b, c)
##
Вывод:,
##
a**2 + b**2 + c**2
##
def diff_max_min(a, b, c):
##
Вывод:
##
max(a, b, c) - min(a, b, c) )


## Установка

pip install nnthvn
krid-polls 0.1
A Django app to conduct web-based polls.
Requires Python: >=3.10

============
django-polls
============

django-polls is a Django app to conduct web-based polls. For each
question, visitors can choose between a fixed number of answers.

Detailed documentation is in the "docs" directory.

Quick start
-----------

1. Add "polls" to your INSTALLED_APPS setting like this::

    INSTALLED_APPS = [
        ...,
        "django_polls",
    ]

2. Include the polls URLconf in your project urls.py like this::

    path("polls/", include("django_polls.urls")),

3. Run ``python manage.py migrate`` to create the models.

4. Start the development server and visit the admin to create a poll.

5. Visit the ``/polls/`` URL to participate in the poll.