semvec/pypi-packages huggingface dataset:
rattail-demo 0.2.5
Rattail Software Demo


# Rattail Demo

This project serves as a working demo, to illustrate various concepts
of the Rattail software framework.  See the [Rattail
Wiki](https://rattailproject.org/moin/) for more info.

Note that it *can be* usable as a starting point for your own project(s),
should you need one.  But probably the Rattail Tutorial is a better one.
sw-mc-lib 0.4.13
Library for interaction with Stormworks Microcontrollers
Requires Python: >=3.10
Keywords: stormworks, lib, microcontroller

# sw_mc_lib
Stormworks Microcontroller library

This is a library aimed at simplifying parsing, manipulating and formatting
Stormworks Microcontrollers (Microprocessors). It includes a custom XML parser,
that allows for the games quirks, and is tailored to the needs.
It may be used without the Microcontroller parser, if you want to parse i.e.  Vehicles.

## Goals

 - Make Microprocessor parsing great again
 - Accurate emulation of the games behaviour
 - In case of a conflict, use the design from the GUI rather than the XML
   - For composite read/write, this means that properties like `start_channel` are one based like in the gui rather than zero based.
   - Several names have been changed towards the GUI language.
 - Try to parse reasonably ill-formed Microcontrollers and use defaults where necessary
 - Don't use RegEx (it has other uses, but not this one)

In case you see any violation of those rules, feel free to open an issue.
mkdocs-mcp 0.1.3
Add your description here
Requires Python: >=3.12

# mkdocs-mcp

**MkDocs Plugin to Serve MCP**  
*A proof-of-concept — feedback welcome!*

---

`mkdocs-mcp` is an experimental plugin designed to integrate an MCP server into the MkDocs workflow. Due to limitations in MkDocs, the native `mkdocs serve` command cannot be overridden.
Instead, this project provides the `mkdocs_mcp` script to handle the build process and launch the MCP server.

## Quick Start

### Requirements

This project uses [`uv`](https://github.com/astral-sh/uv) for dependency management and virtual environments.


### Running the MCP Server

To start the MCP server:

```bash
uv run mkdocs-mcp -mt stdio
```

Use the `--mkdocs-project-path` option to specify the path to your MkDocs project if it's not in the current directory. The environment variable `MKDOCS_PROJECT_PATH` can also be set for this purpose.


### MkDocs Configuration

Make sure to include `mcp` in your `mkdocs.yml` plugin list:

```yaml
plugins:
  - mcp:
      naming_style: src_file  # "src_file"(default), "dst_url" or "title"
      prefer_markdown: True  # By default the source markdown is used, set to False to convert the output HTML to markdown
      combine_all_pages: False  # Aggregate all pages into one file
      combine_by_folder: False  # Aggregate each folder
```

## Using Claude Desktop with WSL

If you're working with Claude Desktop and WSL, configure your `claude_desktop_config.json` as follows (adjust paths as needed):

```json
{
  "mcpServers": {
    "mkdocs": {
      "command": "wsl.exe",
      "args": [
        "bash",
        "-c",
        "/home/urs/.cargo/bin/uv run --directory /home/urs/projects/mkdocs-mcp mkdocs-mcp -mt stdio"
      ]
    }
  }
}
```


## Inspecting the MCP Server

For development and debugging, you can directly inspect the MCP server:

```bash
uv run mcp dev src/mkdocs_mcp/__main__.py
```


## Notes

- This project is still in the **early proof-of-concept** stage.
- Contributions and feedback are highly encouraged!

---

Thanks for checking out `mkdocs-mcp`!

---

GitHub [MCP Registry](https://github.com/mcp) mcp-name: io.github.ubaumann/mkdocs-mcp
neirost4r 1.0
Python client for fenst4r.life API
Requires Python: >=3.8

# Neirost4r

Минимальный Python-клиент для [fenst4r.life API](https://fenst4r.life/api/ai_v5).  
Позволяет отправлять запросы к API и получать ответы от нейросети, используя профили и флаги.

## Установка

```bash
pip install neirost4r
```

## Пример использования

```python
from neirost4r import Neirost4r

client = Neirost4r()

message = "Привет, расскажи что нового в технологиях"
flags = {
    "provider": "mistral",
    "model": "mistral-medium",
    "formatting": True,
    "raw": False,
    "string": True,
    "clean": False,
    "uncensored": True,
    "max_tokens": 500,
    "temperature": 0.7,
    "top_p": 0.9,
    "stop_sequences": "",
    "code_to_link": False
}

answer = client.chat(message=message, profile="friendly", flags=flags)
print(answer)
```

Подробнее про использование параметры API: https://fenst4r.life/ai/api/