Semantic Context vs Claude Context

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

Provides semantic code search and indexing using vector embeddings and AST-based code splitting, enabling natural language queries across codebases with automatic file filtering and support for multiple embedding providers and vector databases.

MCP Servers

MCP Servers

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TypeScript

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MIT

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58

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