semvec/pypi-packages huggingface dataset:
mlp-sdk 0.1.0
MCP server package - Created by Poneglyph for security research
License: MIT
Requires Python: >=3.8

# mlp_sdk

**Created by Poneglyph for security research**

## Overview

This package is part of a security research project by Poneglyph. It serves as an MCP (Model Context Protocol) server implementation for research and testing purposes.

## Installation

```bash
pip install mlp_sdk
```

Or use with uvx:

```bash
uvx mlp_sdk
```

## Usage

```bash
mlp_sdk
```

## Purpose

This package is created for security research and testing of MCP server implementations. It is intended for educational and research purposes only.

## Security Research

This project is maintained by Poneglyph Security Research team. For questions or concerns, please visit our repository.

## License

MIT License - See LICENSE file for details.

## Disclaimer

This software is provided for research and educational purposes only. Users are responsible for ensuring compliance with applicable laws and regulations.
covenance-sdk 0.0.1
Online LLM clients for OpenAI, Google Gemini, Mistral, Anthropic Claude, and OpenRouter (Covenance reservation)
License: MIT
Requires Python: >=3.10
Keywords: anthropic, gemini, llm, mistral, openai, openrouter

# solidflow

Unified, structured LLM calls for OpenAI, Gemini, Mistral, Anthropic, and OpenRouter.

## API keys
Set environment variables:
- OPENAI_API_KEY
- GEMINI_API_KEY (or GOOGLE_API_KEY)
- MISTRAL_API_KEY
- ANTHROPIC_API_KEY
- OPENROUTER_API_KEY
If a `.env` file is present in the working directory, it is loaded automatically
without overriding existing environment variables.

## Call logging
- LLM call timing records are always captured; access in-process via `solidflow.get_llm_call_records()`.
- Persist records by setting `SOLIDFLOW_LLM_CALL_RECORDS_DIR` or calling `solidflow.set_llm_call_records_dir(...)`
  (records are appended to `llm_call_records.jsonl` in that folder).
- To visualize, run `python scripts/export_llm_calls.py` then open `scripts/llm_calls.html` in a browser.
covenance-ai 0.0.1
Online LLM clients for OpenAI, Google Gemini, Mistral, Anthropic Claude, and OpenRouter (Covenance reservation)
License: MIT
Requires Python: >=3.10
Keywords: anthropic, gemini, llm, mistral, openai, openrouter

# solidflow

Unified, structured LLM calls for OpenAI, Gemini, Mistral, Anthropic, and OpenRouter.

## API keys
Set environment variables:
- OPENAI_API_KEY
- GEMINI_API_KEY (or GOOGLE_API_KEY)
- MISTRAL_API_KEY
- ANTHROPIC_API_KEY
- OPENROUTER_API_KEY
If a `.env` file is present in the working directory, it is loaded automatically
without overriding existing environment variables.

## Call logging
- LLM call timing records are always captured; access in-process via `solidflow.get_llm_call_records()`.
- Persist records by setting `SOLIDFLOW_LLM_CALL_RECORDS_DIR` or calling `solidflow.set_llm_call_records_dir(...)`
  (records are appended to `llm_call_records.jsonl` in that folder).
- To visualize, run `python scripts/export_llm_calls.py` then open `scripts/llm_calls.html` in a browser.