Skill-to-MCP vs Semantic Context

Converts AI Skills (following Claude Skills format) into discoverable resources, enabling automatic skill discovery from configurable directories with metadata parsing and file access tools for building domain-specific knowledge repositories and structured workflow collections.

Provides semantic code search across large codebases using ChromaDB vector storage and configurable embeddings, enabling indexing of local project directories with 50+ file type support and retrieval of code snippets with metadata tracking for development teams building knowledge bases and code navi

MCP Servers

MCP Servers

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TypeScript

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MIT

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