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4 MCPs · 0 installs total
Manages a Neo4j knowledge graph of reusable Python functions, documentation, and environment variables, enabling dynamic script composition and execution with a
Enables semantic code search and understanding by cloning git repositories, splitting code into semantic chunks, and generating embeddings for natural language
Organizes and executes reusable automation scripts with structured metadata, environment variable management, and automatic dependency installation for building
A Model Context Protocol (MCP) server for managing Claude skills