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minirag-mcp
Local-first RAG MCP server: hybrid search over a folder of your own documents
Connect
Review any command before running it. Package names and URLs come from the server's own registry entry.
Package (pypi 1.0.0)
uvx minirag-mcp
Or add to your MCP client config:
{
"mcpServers": {
"minirag-mcp": {
"command": "uvx",
"args": [
"minirag-mcp"
]
}
}
}
BASE_DIR— One document root; also the security boundary for file access. Defaults to the process working directory. Ignored when BASE_DIRS is set.BASE_DIRS— JSON array of document roots, e.g. ["/docs/a", "/docs/b"]. Takes precedence over BASE_DIR. An invalid value is a hard configuration error.DB_PATH— LanceDB index directory. Defaults to <first root>/.minirag/lancedb, so each corpus gets its own index.CACHE_DIR— Embedding model cache. Defaults to the platform user cache dir, so the ~220 MB model is downloaded once and shared.MODEL_NAME— fastembed model id. Changing it makes existing vectors incompatible with new queries; pair with a new DB_PATH or a full re-ingest.MAX_FILE_SIZE— Per-file size limit in bytes, enforced before parsing.CHUNK_TOKEN_BUDGET— Retrieval-unit size in the embedding model's own tokens. Range 16-128; the ceiling is the model's trained sequence length.RAG_HYBRID_WEIGHT— Keyword weight in the weighted RRF fusion, range 0.0-1.0. 0 is vector-only; higher values raise the BM25 contribution.RAG_GROUPING— Result grouping filter. 'similar' keeps only the closest group; 'related' also keeps the next one. Unset means no grouping filter.RAG_MAX_DISTANCE— Drop results whose vector distance exceeds this value. Lower is stricter. Unset means no distance filter.RAG_MAX_FILES— Keep chunks from at most this many best-scoring files. Unset means no per-file filter.RAG_INSTRUCTIONS_APPEND— Extra paragraph appended to the instructions the server hands the client at connect time, for corpus-specific guidance.ALLOW_PRIVATE_URLS— Let ingest_url fetch hosts resolving to loopback, link-local, private, reserved or unspecified addresses. Off by default.
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