Dynamic Mcp Server Discovery And Semantic Tool Search With Embeddings

via “semantic search and embedding-based code retrieval”

Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters — 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.

Unique: Integrates semantic search into the MCP tool suite, allowing Claude to discover code by meaning rather than keyword matching. The system generates embeddings for code entities and maintains a vector index that supports similarity queries, enabling Claude to find related code patterns without explicit keyword searches.

More effective than regex or keyword-based search for discovering related code patterns because it understands semantic relationships (e.g., 'authentication' and 'login' are related even if they don't share keywords).