semvec/pypi-packages huggingface dataset:
iflow-mcp_alexsmirnov-mcps 0.1.0
Model Context Protocol server for continue.dev
Requires Python: >=3.11


# Model Context Protocol ( MCP ) Python server to use with continue.dev
MCP server that exposes a customizable prompt templates, resources, and tools
It uses FastMCP to run as server application.

Dependencies, build, and run managed by uv tool.

## Provided functionality
### prompts
prompts created from markdown files in `prompts` folder. 
Additional content can be added by templating, by variable names in {{variable}} format
Initial list of prompts:
- review code created by another llm
- check code for readability, confirm with *Clean Code* rules
- Use a conversational LLM to hone in on an idea
- wrap out at the end of the brainstorm to save it as `spec.md` file
- test driven development, to create tests from spec
- Draft a detailed, step-by-step blueprint for building project from spec

### resources
**NOTE: continue does not understand templates, so resource name should contain all information**
**resouce name left as is in prompt, so it should not confuse llm**
- extract url content as markdown
- full documentation about libraries, preferable from llms-full.txt
- complete project structure and content, created by `CodeWeawer` or `Repomix`

### tools
- web search, using `serper` or  
- web search results with summary, by `perplexity.io`
- find missed tests
- run unit tests and collect errors
breesy 0.3.15
Easy EEG analysis for neuroscience. Load, process, and analyze EEG data with simple Python functions.
Requires Python: >=3.9
Keywords: eeg, neuroscience, signal processing

# Breesy

Easy EEG analysis for neuroscience.

## Installation
```bash
pip install breesy
```

## Quick Start  
```python
import breesy

# Load EEG data
recording = breesy.load.load_recording("your_data.mat")

# Basic preprocessing  
clean = breesy.processing.mean_centering(recording)
filtered = breesy.processing.remove_powerline_noise(clean)

# Visualize
breesy.plots.plot_recording(filtered)
```

## Features
- Load various EEG file formats
- Simple preprocessing and filtering
- Clear error messages with suggestions

## Dependencies
- Numpy
- Matplotlib
- Scipy
- Scikit-learn
- tqdm