MaintenanceActively maintained — last activity 0 days ago.GitHub · as of Jul 12, 2026
Pass
ProvenanceOrigin linked to a public source repository.Official MCP Registry · as of Jul 11, 2026
Pass
Supply chainNo known vulnerabilities in scanned package dependencies (OSV).OSV (Google Open Source Vulnerabilities) · as of Jul 12, 2026
Pass
Manifest integrityManifest capture requires running the package (sandbox phase).
Pending
Behavioral trustNo live endpoint to observe.
Not applicable
Connect
npm package · v0.18.6 · stdio
npx -y @damoqiongqiu/mcp-local-rag
BASE_DIR
Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set.
BASE_DIRS
JSON array of base directories (e.g. '["/a","/b"]'). Takes precedence over BASE_DIR.
DB_PATH
Path to LanceDB database directory (defaults to ./lancedb/)
CACHE_DIR
Directory where Transformers.js models are cached (defaults to ./models/)
MODEL_NAME
Embedding model name (defaults to Xenova/all-MiniLM-L6-v2)
MAX_FILE_SIZE
Maximum file size in bytes (defaults to 104857600 / 100MB)
RAG_MAX_DISTANCE
Maximum distance threshold for filtering search results. Results with distance greater than this value will be excluded. Lower values mean stricter filtering (e.g., 0.5 for high relevance only)
RAG_GROUPING
Grouping mode for quality filtering. 'similar' returns only the most similar group (stops at first distance jump). 'related' includes related groups (stops at second distance jump). Unset means no grouping filter
Provenance
Official MCP Registry · as of Jul 11, 2026 · registry-tos
OSV (Google Open Source Vulnerabilities) · as of Jul 12, 2026 · CC-BY-4.0
GitHub · as of Jul 12, 2026 · github-tos
Every verdict is attributable to its sources and recomputed from our own landed copy, never read live on this page.
RAG_MAX_FILES
Maximum number of files to keep in search results. Results are filtered to include only chunks from the top N best-scoring files. For example, 1 returns only the single best-matching file's chunks. Unset means no file filtering.
CHUNK_MIN_LENGTH
Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion.
RAG_DEVICE
Execution device for the embedder (defaults to cpu). Passed straight to ONNX Runtime; see the Transformers.js device source for the supported backend names. If the requested device fails to initialize, the server throws an error.
RAG_DTYPE
Embedding quantization dtype for the embedder (defaults to fp32). Opt-in and pass-through; accepts any dtype the chosen model provides (fp32, fp16, q8, int8, ...). If the model has no variant for the requested dtype, the server throws an error. Changing this changes the embedding space — re-ingest existing data.
RAG_HYBRID_WEIGHT
Keyword boost factor for hybrid search (0.0-1.0, defaults to 0.6). 0 means semantic similarity only; higher values increase the keyword-match contribution to the final score.
RAG_WATCH
Enable automatic file watcher to detect changes and re-index modified files (true/1 to enable). Useful during active development.
HTTPS_PROXY
HTTPS proxy URL for downloading embedding models (e.g. http://proxy:8080). Required only if behind a corporate proxy.
HTTP_PROXY
HTTP proxy URL for downloading embedding models. Fallback if HTTPS_PROXY is not set.