semvec/pypi-packages huggingface dataset:
rhino-or-py-station-reallocation 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# rhino-or-py-station-reallocation

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
toxp 0.4.1
TOXP CLI - Team Of eXPerts parallel reasoning with multiple LLM agents and AWS Bedrock
License: MIT
Requires Python: >=3.10
Keywords: aws, bedrock, claude, ai, reasoning, parallel-compute, llm, cli

# TOXP - Team Of eXPerts

Parallel reasoning CLI using multiple LLM agents. TOXP spawns N independent reasoning agents to tackle complex queries, then synthesizes their outputs through a coordinator agent into a coherent, high-confidence answer.

## Features

- **Parallel Reasoning**: Spawn 2-32 independent reasoning agents
- **Intelligent Synthesis**: Coordinator analyzes agreements, contradictions, synthesizes best answer
- **Confidence Levels**: Low/Medium/High confidence ratings
- **Streaming Output**: Real-time coordinator synthesis
- **Session Logging**: Markdown logs with token counts and cost estimates

## Prerequisites

- **Python 3.10+**
- **AWS credentials** with Bedrock access:
  ```bash
  aws configure --profile your-profile
  ```
- **Claude model access** in AWS Bedrock console

## Installation

```bash
# Using uvx (no install needed)
uvx toxp "Your question"

# Or install permanently
uv tool install toxp    # recommended
pipx install toxp       # alternative
pip install toxp        # in current env
```

## Upgrading

```bash
uv tool upgrade toxp    # if installed with uv
pipx upgrade toxp       # if installed with pipx
pip install -U toxp     # if installed with pip
```

## Setup

```bash
toxp config set aws-profile your-profile
toxp config show
```

## Quick Start

```bash
toxp "Solve: x^2 + 5x + 6 = 0"
echo "Explain recursion" | toxp
toxp -v "Analyze quicksort"        # verbose
toxp --quiet "What is 2 + 2?"      # only answer
toxp --output answer.txt "Question"
```

## Configuration

Stored at `~/.toxp/config.json`:

```bash
toxp config show                    # view all
toxp config get model               # get value
toxp config set num-agents 24       # set value
toxp config reset                   # reset defaults
```

| Key | Default | Description |
|-----|---------|-------------|
| `aws-profile` | `default` | AWS profile |
| `region` | `us-east-1` | AWS region |
| `num-agents` | `15` | Parallel agents (2-32) |
| `temperature` | `0.9` | Agent temperature |
| `model` | `claude-sonnet-4-5` | Model ID |

Environment variables: `TOXP_AWS_PROFILE`, `TOXP_REGION`, `TOXP_NUM_AGENTS`

## CLI Reference

```
toxp [OPTIONS] [QUERY]

Options:
  -q, --query TEXT       Query string
  -n, --num-agents INT   Agents (2-32)
  -t, --temperature FLOAT
  --aws-profile TEXT
  --region TEXT
  -o, --output FILE
  -v, --verbose
  --quiet
  --help
```

## How It Works

1. Query sent to N reasoning agents (T=0.9)
2. At least 50% must succeed
3. Coordinator synthesizes responses
4. Final answer with confidence level

## Troubleshooting

```bash
# Credentials expired
aws sso login --profile your-profile

# Rate limiting
toxp config set num-agents 8

# Debug
toxp -v "Your question"
```

## Development

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

## License

MIT
rhino-alg-turing-server 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# rhino-alg-turing-server

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
granola-mcp 0.1.0
MCP server for Granola meeting notes and transcripts
License: MIT
Requires Python: >=3.10
Keywords: claude, granola, mcp, meetings, transcripts

# granola-mcp

MCP server for accessing [Granola](https://granola.so) meeting notes and transcripts in Claude.

## Requirements

- macOS (Granola is macOS-only)
- [Granola](https://granola.so) desktop app installed and logged in
- [uv](https://docs.astral.sh/uv/) for running the server

## Quick Start

### One-Line Install

```bash
curl -fsSL https://raw.githubusercontent.com/Primary-OS/granola-mcp/main/install.sh | bash
```

Then restart Claude Desktop.

### Manual Install

#### 1. Install uv (if needed)

```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```

#### 2. Configure Claude Desktop

Add to `~/Library/Application Support/Claude/claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "granola": {
      "command": "uvx",
      "args": ["granola-mcp"]
    }
  }
}
```

#### 3. Restart Claude Desktop

## Tools

| Tool | Description |
|------|-------------|
| `find_recent_meetings` | List recent meetings with metadata |
| `search_meetings` | Search by title, attendee, or content |
| `get_transcript` | Get full meeting transcript |

## Usage Examples

Once installed, ask Claude:

- "What meetings did I have this week?"
- "Get the transcript from my call with [company]"
- "Search my meetings for discussions about pricing"
- "Summarize my meeting with John from yesterday"

## How It Works

This server reads authentication tokens from Granola's local config file:
`~/Library/Application Support/Granola/supabase.json`

If tokens are expired, it automatically opens Granola.app to refresh them.

## Troubleshooting

**"Granola config not found"**
- Make sure Granola is installed and you've logged in at least once

**"Token expired and auto-refresh failed"**
- Open Granola.app manually, then try again

**Server not appearing in Claude**
- Check that uvx is in your PATH: `which uvx`
- Restart Claude Desktop completely (quit and reopen)
- Check the Claude Desktop logs for errors

## Development

```bash
# Clone and install
git clone https://github.com/Primary-OS/granola-mcp
cd granola-mcp

# Run locally
uv run python -m granola_mcp

# Test with Claude Desktop (local dev)
# Add to claude_desktop_config.json:
{
  "mcpServers": {
    "granola-dev": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/granola-mcp", "python", "-m", "granola_mcp"]
    }
  }
}
```

## License

MIT