semvec/pypi-packages huggingface dataset:
mark-anthony-calculator-mcp 1.0.21
A Model Context Protocol server for calculator operations
License: MIT
Requires Python: >=3.10
Keywords: calculator, mcp, model-context-protocol

# Calculator MCP Server

A Model Context Protocol (MCP) server that provides calculator operations (add, subtract, multiply, divide).

## Installation

### Via npx (Node.js - recommended)

```bash
npx @mark.anthony987654321/calculator-mcp
```

### Via uvx (Python - recommended)

```bash
uvx mark-anthony-calculator-mcp
```

### Local Installation

**Node.js:**
```bash
npm install
npm start
```

**Python:**
```bash
pip install -e .
python -m calculator_mcp
```

## Available Tools

- **add**: Add two numbers together
- **subtract**: Subtract the second number from the first number
- **multiply**: Multiply two numbers together
- **divide**: Divide the first number by the second number

## Usage

This MCP server is designed to be used with MCP-compatible clients. Configure your MCP client to use this server.

### Example Configuration

For use with Claude Desktop or other MCP clients, add to your MCP configuration:

**Using npx (Node.js):**
```json
{
  "mcpServers": {
    "calculator": {
      "command": "npx",
      "args": ["@mark.anthony987654321/calculator-mcp"]
    }
  }
}
```

**Using uvx (Python):**
```json
{
  "mcpServers": {
    "calculator": {
      "command": "uvx",
      "args": ["mark-anthony-calculator-mcp"]
    }
  }
}
```

## Development

**Node.js:**
```bash
# Install dependencies
npm install

# Run the server
npm start
```

**Python:**
```bash
# Install from PyPI
pip install mark-anthony-calculator-mcp
calculator-mcp

# Or install locally for development
pip install -e ".[dev]"
python -m calculator_mcp
```

## License

MIT
gkdbutils 0.2.3
A collection useful utilities - mostly related to astronomy
License: MIT
Requires Python: >=3.6

# gkdbutils
Database ingest methods and command line utilities for MySQL and Cassandra

This code does NOT install mysqlclient or cassandra-driver.  If you want to use either you MUST install whichever driver you need.

The command line utilities are:
* cassandraIngest (ingest into a Cassandra table from a text file - requires cassandra-driver)
* mysqlIngest (ingest into a MySQL table from a text file - requires mysqlclient)
wandb_buddy 0.1.0
Utilities for W&B experiment analysis
License: MIT
Requires Python: >=3.8

# wandb_buddy

Utilities for W&B experiment analysis.

## Installation

```bash
pip install wandb_buddy
```

Or install from source:

```bash
pip install -e .
```

## Usage

```python
import wandb_buddy as wb

# Tag-based filtering (simple)
df = wb.load_runs("your-entity", "your-project", tags=["experiment-v1"])

# Exclude certain tags
df = wb.load_runs("your-entity", "your-project", tags=["experiment-v1"], exclude_tags=["debug"])

# Raw filters (flexible)
df = wb.load_runs("your-entity", "your-project", filters={"config.lr": 0.001})

# Combined tag and raw filters
df = wb.load_runs("your-entity", "your-project", tags=["experiment-v1"], filters={"config.lr": 0.001})

# Include all run states (not just finished)
df = wb.load_runs("your-entity", "your-project", tags=["experiment-v1"], state="all")

# Custom timeout
df = wb.load_runs("your-entity", "your-project", tags=["experiment-v1"], timeout=10000)
```

The returned DataFrame contains: `name`, `id`, `state`, `created_at`, `heartbeat_at`, `tags`, `sweep_id`, plus all config and summary values from each run.

## Development

```bash
pip install -e ".[dev]"
```