OCTAVE protocol implementation for structured AI communication that reduces token usage by 3-20x. An MCP server with validation pipeline for efficient model context protocol interactions.
octave-mcp is a Model Context Protocol (MCP) server implementation that introduces the OCTAVE protocol for structured AI communication. It optimizes interactions between AI systems by reducing token consumption significantly (3-20x reduction) while maintaining communication quality through a lenient-to-canonical pipeline and schema validation.
Installation requires Python and pip. Clone the repository from GitHub, install dependencies using pip install -r requirements.txt, configure the MCP server settings, and integrate it with your MCP-compatible platform. Detailed setup instructions are available in the project repository documentation.
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