io.github.shinpr/mcp-local-rag
Easy-to-setup local RAG server with minimal configuration
Using io.github.shinpr/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).
Rewrites your MCP host config so each server launches behind the gate. Inspect first: curl -fsSL https://mcpindex.ai/install.sh | less
uv tool install mcpindex-gate && mcpindex-config-wireSemantic screen found no manipulation pattern in the description. Conformance probe not yet run.
mcpindex.integrity.descriptionpassINFOevidence“No malicious instructions found”via static_description
- - Semantic screen only - the deterministic conformance probe has not run on this server
- - Confidence is reported but not yet calibrated (v1)
- - Screen reads the tool description, not the live behavior
- - advisory
- - registry description only no input schema
- - screen model 8b
Semantic screen: an LLM judge reads the tool description for hidden instructions (status PARTIAL). A pass means the description is not lying, not that the tool is safe: a high-capability tool with an honest description still warrants caution. The deterministic conformance probe has not been run on this server yet, so the screen here is semantic-only. Posture: advisory. Confidences are reported but not yet calibrated (calibrated=false at v1). Full verdict history is not shown on this page.
Own this server? Screen its description →
That verdict was true at screening time (snapshot 2026-07-31).
Contracts can change after screening, with no version bump. The gate pins io.github.shinpr/mcp-local-rag’s tool contracts on first sight and holds any silent change before your agent acts - the check that keeps being true on Tuesday.
See your first HOLD in 2 minutes →
Related: how to trust an MCP server · screen before install · silent contract drift
A live verdict badge for your README or listing. It reflects the current screen, links back here, and updates when the verdict does.
[](https://mcpindex.ai/server/io-github-shinpr-mcp-local-rag)<a href="https://mcpindex.ai/server/io-github-shinpr-mcp-local-rag"><img src="https://mcpindex.ai/api/v1/badge/io-github-shinpr-mcp-local-rag" alt="mcpindex verdict" height="20" /></a>BASE_DIRBase directory for document storage (defaults to current working directory). Ignored when BASE_DIRS is set.
BASE_DIRSJSON array of base directories (e.g. '["/a","/b"]'). Takes precedence over BASE_DIR.
DB_PATHPath to LanceDB database directory (defaults to ./lancedb/)
CACHE_DIRDirectory where Transformers.js models are cached (defaults to ./models/)
MODEL_NAMEEmbedding model name (defaults to Xenova/all-MiniLM-L6-v2)
MAX_FILE_SIZEMaximum file size in bytes (defaults to 104857600 / 100MB)
RAG_MAX_DISTANCEMaximum 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_GROUPINGGrouping 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_FILESMaximum 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_LENGTHMinimum chunk length in characters (1-10000, defaults to 50). Chunks shorter than this threshold are filtered out during ingestion.
RAG_DEVICEExecution 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_DTYPEEmbedding 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_WEIGHTKeyword 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.
Expert-curated knowledge, brand, research & earnings intelligence — 31 tools, 220+ graphs.
The media memory layer for AI agents and their humans. Books, movies, music, shows, and anime.
Neuro-inspired long-term memory for AI agents with semantic graph and consolidation.