semvec/pypi-packages huggingface dataset:
iflow-mcp_technavii_mcp_think 0.1.0
An implementation of Anthropic's think tool using OpenAI's o3-mini model via MCP
Requires Python: >=3.8

# Think MCP

An implementation of Anthropic's "think" tool using the Model Context Protocol (MCP). This tool uses OpenAI's o3-mini model to provide deep thinking capabilities through a standardized MCP interface.

## Features

- Implements the MCP protocol for the "think" capability
- Uses OpenAI's o3-mini model for deep thinking analysis
- Runs using stdio transport for seamless integration with other tools
- Comprehensive error handling and logging

## Setup

1. Install dependencies:

```bash
pip install -r requirements.txt
```

2. Set up your OpenAI API key:

Create or edit the `.env` file in the root directory with:

```
OPENAI_API_KEY=your_api_key_here
```
3. Configure Claude Desktop to use the MCP server:

   Open your Claude Desktop configuration file:
   
   **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`  
   **Windows**: `C:\Users\YourUsername\AppData\Roaming\Claude\claude_desktop_config.json`

   Add the following configuration:
   ```json
   {
     "mcpServers": {
       "think": {
         "command": "/full/path/to/python",
         "args": [
           "/full/path/to/main.py"
         ]
       }
     }
   }
   ```
   
   Be sure to replace the paths with the actual locations on your system.

4. Restart Claude Desktop
cfin-pyaddons 0.4.2b0
A miscellaneous collection of helper modules and command-line scripts
Requires Python: <3.14,>=3.9

# Getting Started with pyaddons

__version__: `0.4.2b0`

Misc additional utilities used on many of my scripts and repositories, individually not big enough to warrant a repository so all lumped together.

There is [online](https://cfinan.gitlab.io/pyaddons/index.html) documentation for pyaddons.

## Installation instructions

### pip install
At present, no packages exist yet on PyPy. Therefore, for pip install you should clone this repository and then `cd` to the root of the repository.

```
pip install cfin-pyaddons
```

### Installation using conda
A conda build is also available for Python v3.8/v3.9/v3.10 on linux-64/osX-64. Although please note that all development and testing is performed in linux-64 (Python v3.9).
```
conda install -c conda-forge -c cfin -c bioconda cfin-pyaddons
```

### Installing companion bash scripts
In addition to the Python command-line scripts that are available when the package is installed. There are also some bash scripts located in ``./resources/bin``. Please note these will not be installed when you install via clone & pip or a conda install. If using conda you will have to clone the repo. With either install method you will need to add the ``./resources/bin`` directory to your PATH.

These scripts will require two bash libraries to be in your PATH.

1. ``shflags`` - `This <https://github.com/kward/shflags>`_ is to manage bash command line arguments.
2. ``bash-helpers`` - `This <https://gitlab.com/cfinan/bash-helpers>`_ wraps some handle bash functions.

For more information on what is available see the [bash script](https://cfinan.gitlab.io/pyaddons/scripts/bin_scripts.html) documentation.