semvec/pypi-packages huggingface dataset:
oci-documentation-mcp-server 0.0.1
An  Model Context Protocol (MCP) server for OCI Documentation
Requires Python: >=3.10

*Inspired by: https://github.com/awslabs/mcp/tree/main/src/aws-documentation-mcp-server*

# OCI Documentation MCP Server

Model Context Protocol (MCP) server for OCI Documentation

This MCP server provides tools to search for content, and access OCI documentation.

## Features

- **Read Documentation**: Fetch and convert OCI documentation pages to markdown format
- **Search Documentation**: Search OCI documentation using search engine

## Prerequisites

### Installation Requirements

1. Install `uv` from [Astral](https://docs.astral.sh/uv/getting-started/installation/) or the [GitHub README](https://github.com/astral-sh/uv#installation)
2. Install Python 3.10 or newer using `uv python install 3.10` (or a more recent version)

## Installation

To add this MCP server to your Amazon Q or Claude, add the following to your MCP config file. With Amazon Q, create (if does not yet exist) a file named `.amazonq/mcp.json` under the same directory that is running `q chat`. Then add the following config:

```json
{
  "mcpServers": {
    "oci-documentation-mcp-server": {
        "command": "uvx",
        "args": ["oci-documentation-mcp-server@latest"],
        "env": {
          "FASTMCP_LOG_LEVEL": "ERROR"
        },
        "disabled": false,
        "autoApprove": []
    }
  }
}
```

## Basic Usage
Example:
 - "look up documentation on Object bucket naming rule. cite your sources"
 




## Tools

### read_documentation

Fetches an OCI documentation page and converts it to markdown format.

```python
read_documentation(url: str) -> str
```

### search_documentation

Searches OCI documentation using the search engine.

```python
search_documentation(search_phrase: str, limit: int) -> list[dict]
```
cat-stat-analysis 0.1.0
A simple tool for analyzing relationships between categorical variables
Requires Python: >=3.6

# 📊 **Cat Stat Analysis**  
*A simple yet powerful tool for performing statistical analysis of categorical data using Chi-Square and Cramér's V.*

## 🚀 **Features**  
✅ **Chi-Square Test for Independence**  
✅ **Cramér’s V** to measure the strength of association  
✅ Generates a **formatted Markdown report** with detailed conclusions  
✅ Creates a **stacked percentage bar chart** visualizing relationships  
✅ **PDF report generation** with Markdown and visual results
calculator-math-operations 0.0.1
Pacote para operações matemáticas básicas
Requires Python: >=3.5

# Calculator_Math_Operations

Este Ã© um pacote Python que fornece funÃ§Ãµes para realizar operaÃ§Ãµes matemÃ¡ticas bÃ¡sicas, como soma e subtraÃ§Ã£o.

## InstalaÃ§Ã£o

```bash
pip install calculator_math_operations_package
```

## Uso

```python
from calculator_math_operations import addition, subtraction

print(addition.add(2, 3))  # SaÃ­da: 5
print(subtraction.subtract(5, 2))  # SaÃ­da: 3
```

## Autor

[LuthLucas](https://github.com/LuthLucas)