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Local Rag MCP Server

AI & MLLow Risk10.0MCP RegistryLocal
Free

Server data from the Official MCP Registry

Semantic code & doc search with keyword boost. AST code nav, auto HF mirror, local, privacy-first.

About

Semantic code & doc search with keyword boost. AST code nav, auto HF mirror, local, privacy-first.

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.

3 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Base directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set.Optional

Environment variable: BASE_DIR

JSON array of base directories (e.g. '["/a","/b"]'). Takes precedence over BASE_DIR.Optional

Environment variable: BASE_DIRS

Path to LanceDB database directory (defaults to ./lancedb/)Optional

Environment variable: DB_PATH

Directory where Transformers.js models are cached (defaults to ./models/)Optional

Environment variable: CACHE_DIR

Embedding model name (defaults to Xenova/all-MiniLM-L6-v2)Optional

Environment variable: MODEL_NAME

Maximum file size in bytes (defaults to 104857600 / 100MB)Optional

Environment variable: MAX_FILE_SIZE

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)Optional

Environment variable: RAG_MAX_DISTANCE

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 filterOptional

Environment variable: RAG_GROUPING

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.Optional

Environment variable: RAG_MAX_FILES

Minimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion.Optional

Environment variable: CHUNK_MIN_LENGTH

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.Optional

Environment variable: RAG_DEVICE

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.Optional

Environment variable: RAG_DTYPE

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.Optional

Environment variable: RAG_HYBRID_WEIGHT

Enable automatic file watcher to detect changes and re-index modified files (true/1 to enable). Useful during active development.Optional

Environment variable: RAG_WATCH

Explicit HuggingFace endpoint URL to use for model downloads. When set, auto-mirror detection is skipped and this URL is used directly. Useful when you have a full-featured mirror.Optional

Environment variable: HF_ENDPOINT

Enable automatic mirror detection for HuggingFace downloads (defaults to true). Set to "false" or "0" to disable and use huggingface.co directly. The mirror chain is: huggingface.co → hf-mirror.com → modelscope.cn.Optional

Environment variable: HF_AUTO_MIRROR

HTTPS proxy URL for downloading embedding models (e.g. http://proxy:8080). Required only if behind a corporate proxy.Optional

Environment variable: HTTPS_PROXY

HTTP proxy URL for downloading embedding models. Fallback if HTTPS_PROXY is not set.Optional

Environment variable: HTTP_PROXY

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-damoqiongqiu-mcp-local-rag": {
      "env": {
        "DB_PATH": "your-db-path-here",
        "BASE_DIR": "your-base-dir-here",
        "BASE_DIRS": "your-base-dirs-here",
        "CACHE_DIR": "your-cache-dir-here",
        "RAG_DTYPE": "your-rag-dtype-here",
        "RAG_WATCH": "your-rag-watch-here",
        "HTTP_PROXY": "your-http-proxy-here",
        "MODEL_NAME": "your-model-name-here",
        "RAG_DEVICE": "your-rag-device-here",
        "HF_ENDPOINT": "your-hf-endpoint-here",
        "HTTPS_PROXY": "your-https-proxy-here",
        "RAG_GROUPING": "your-rag-grouping-here",
        "MAX_FILE_SIZE": "your-max-file-size-here",
        "RAG_MAX_FILES": "your-rag-max-files-here",
        "HF_AUTO_MIRROR": "your-hf-auto-mirror-here",
        "CHUNK_MIN_LENGTH": "your-chunk-min-length-here",
        "RAG_MAX_DISTANCE": "your-rag-max-distance-here",
        "RAG_HYBRID_WEIGHT": "your-rag-hybrid-weight-here"
      },
      "args": [
        "-y",
        "@damoqiongqiu/mcp-local-rag"
      ],
      "command": "npx"
    }
  }
}

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Local Rag MCP Server - Semantic code & doc search with keyword boost. AST code | MCP Marketplace