io.github.damoqiongqiu/mcp-local-rag

io.github.damoqiongqiu/mcp-local-rag·v0.18.8·Documents & Spreadsheets

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

In-path gate · all MCP tools

Using io.github.damoqiongqiu/mcp-local-rag in Claude, Cursor, Gemini CLI, Cline, or Zed?

MCP tool contracts can change remotely with no version bump. The mcpindex gate pins each contract and HOLDs the call when it drifts—before your agent acts. Zero credentials. This is not the package install for this server itself (use Install this server for that).

Install the mcpindex gate (one command)

Rewrites your MCP host config so each server launches behind the gate. Inspect first: curl -fsSL https://mcpindex.ai/install.sh | less

curl -fsSL https://mcpindex.ai/install.sh | sh

Auditable install path →Watch it hold a drift →

Trust verdict · v1 advisory · method

NOT YET SCREENEDno verdict on file

Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.

Own this server? Screen its description →

Environment variables

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

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.

HF_ENDPOINT

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.

HF_AUTO_MIRROR

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.

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.

MCP quality score · maturity, not trust · methodology

freshness

completeness

installability

documentation

stability

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Install this server

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "mcp-local-rag": {
      "command": "npx",
      "args": [
        "-y",
        "@damoqiongqiu/mcp-local-rag"
      ],
      "env": {
        "BASE_DIR": "<base_dir>",
        "BASE_DIRS": "<base_dirs>",
        "DB_PATH": "<db_path>",
        "CACHE_DIR": "<cache_dir>",
        "MODEL_NAME": "<model_name>",
        "MAX_FILE_SIZE": "<max_file_size>",
        "RAG_MAX_DISTANCE": "<rag_max_distance>",
        "RAG_GROUPING": "<rag_grouping>",
        "RAG_MAX_FILES": "<rag_max_files>",
        "CHUNK_MIN_LENGTH": "<chunk_min_length>",
        "RAG_DEVICE": "<rag_device>",
        "RAG_DTYPE": "<rag_dtype>",
        "RAG_HYBRID_WEIGHT": "<rag_hybrid_weight>",
        "RAG_WATCH": "<rag_watch>",
        "HF_ENDPOINT": "<hf_endpoint>",
        "HF_AUTO_MIRROR": "<hf_auto_mirror>",
        "HTTPS_PROXY": "<https_proxy>",
        "HTTP_PROXY": "<http_proxy>"
      }
    }
  }
}

Cursor (.cursor/mcp.json)

{
  "mcpServers": {
    "mcp-local-rag": {
      "command": "npx",
      "args": [
        "-y",
        "@damoqiongqiu/mcp-local-rag"
      ],
      "env": {
        "BASE_DIR": "<base_dir>",
        "BASE_DIRS": "<base_dirs>",
        "DB_PATH": "<db_path>",
        "CACHE_DIR": "<cache_dir>",
        "MODEL_NAME": "<model_name>",
        "MAX_FILE_SIZE": "<max_file_size>",
        "RAG_MAX_DISTANCE": "<rag_max_distance>",
        "RAG_GROUPING": "<rag_grouping>",
        "RAG_MAX_FILES": "<rag_max_files>",
        "CHUNK_MIN_LENGTH": "<chunk_min_length>",
        "RAG_DEVICE": "<rag_device>",
        "RAG_DTYPE": "<rag_dtype>",
        "RAG_HYBRID_WEIGHT": "<rag_hybrid_weight>",
        "RAG_WATCH": "<rag_watch>",
        "HF_ENDPOINT": "<hf_endpoint>",
        "HF_AUTO_MIRROR": "<hf_auto_mirror>",
        "HTTPS_PROXY": "<https_proxy>",
        "HTTP_PROXY": "<http_proxy>"
      }
    }
  }
}

Cline (cline_mcp_settings.json)

npx -y @damoqiongqiu/mcp-local-rag

Claude Code (claude mcp add)

claude mcp add --scope user mcp-local-rag -- npx -y @damoqiongqiu/mcp-local-rag

Gemini CLI (gemini mcp add)

gemini mcp add -s user mcp-local-rag npx -y @damoqiongqiu/mcp-local-rag

Verdict API

curl -s mcpindex.ai/api/v1/trust/server/io-github-damoqiongqiu-mcp-local-rag

Free-tier verdict as JSON: decision + dimensions + severity. Call it from your agent before it invokes a tool it just discovered.

Details

version: v0.18.8
category: Documents & Spreadsheets
quality: 80 / 100
operator: damoqiongqiu

Provenance

Verdict history is anchored to Bitcoin via OpenTimestamps. The free tier returns the current verdict only; the anchored record is served on the authenticated tier.

Links

Repository →