Supports containerized deployment with Docker, allowing the MCP server to be packaged and run in isolated containers
Integrates with GitHub for CI/CD workflows through GitHub Actions, providing automated testing and deployment pipelines
Available for installation through PyPI, enabling easy distribution and installation via pip
Built on Python 3.11+, utilizing Python's ecosystem for prompt optimization functionality
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Context Protocol (MCP) server that provides intelligent tools for optimizing and scoring LLM prompts using deterministic heuristics.
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