local-Rag

A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configBASE_DIR— "D:/Your/Documents"

configBASE_DIRS— "[\"D:/Your/Documents\",\"E:/More/Documents\"]"

configCACHE_DIR— "D:/GitHub/local-Rag/models"

configCHUNK_MIN_LENGTH

configCODEX_HOME

configDB_PATH— "D:/GitHub/local-Rag/lancedb"

configHF_MODEL_REVISION

configMAX_FILE_SIZE

configMODEL_NAME

configRAG_DEVICE

configRAG_DTYPE

configRUN_E2E

configRUN_E2E_KEEP_CACHE

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/zongzi-zongzhi-local-rag-1vkaf3)](https://m8ven.ai/mcp/zongzi-zongzhi-local-rag-1vkaf3)

commit: b4aaed4d53a3754a61000a97d75c50475bd7e02a

code hash: 0f5e3b2d18ed6f71d1c690c1033902c31a8903c59b93289c769cd061795dd51f

verified: 6/15/2026, 12:56:48 PM

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