A high-performance MCP server for semantic search and codebase indexing using the Qdrant vector database. It features optimized embedding pipelines, AST-aware chunking, and git metadata enrichment for fast, privacy-focused local or remote search.
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process.env. You'll be asked to provide them before it can run.EMBEDDING_BASE_URLEMBEDDING_BATCH_SIZEEMBEDDING_CONCURRENCYEMBEDDING_DEVICEEMBEDDING_DIMENSIONEMBEDDING_FALLBACK_URLEMBEDDING_MODELEMBEDDING_PROVIDERHF_CACHE_DIRMEDIAN_CODE_CHUNK_SIZEONNX_MODELQDRANT_EMBEDDED_STORAGE_PATHQDRANT_FLUSH_INTERVAL_MSQDRANT_URLTEA_RAGS_CODEGRAPH_DAEMON_DIRTEA_RAGS_CODEGRAPH_DAEMON_MEMORYTEA_RAGS_CODEGRAPH_DAEMON_ROOTTEA_RAGS_CODEGRAPH_DAEMON_THREADSTEA_RAGS_DATA_DIR— $/registry.json) that records collection metadata and letsTUNE_SAMPLE_SIZEXDG_CONFIG_HOME[](https://m8ven.ai/mcp/artk0de-tearags-mcp-1cg2yc)