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21 days ago
glama

local-rag-mcp

A RAG knowledge base MCP server using FastMCP and LanceDB, enabling hybrid search, document ingestion, and full MCP tool/resource/prompt support.

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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.
configRAG_CHUNK_SIZE600 分块大小(字符数)
configRAG_CHUNK_OVERLAP60 块间重叠(字符数)
configEMBED_BASE_URL=http://localhost:11434
configEMBED_MODEL_NAME=qwen3-embedding:8b
configEMBED_TIMEOUT60.0 Embedding 请求超时(秒)
configRAG_HYBRID_WEIGHT0.7 混合检索权重 (0=纯BM25, 1=纯向量)
configLOG_LEVELINFO 日志级别
configMCP_TRANSPORT$env:="stdio"; rag-mcp
configMCP_PORT8042 SSE 监听端口
configRAG_PROJECT_PATH=./documents
configMCP_HOST127.0.0.1 SSE 监听地址
configRAG_WATCH_DEBOUNCE1.0 文件监控防抖间隔(秒)
// 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.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/junchenghe01-local-rag-mcp-1dvxdi)](https://m8ven.ai/mcp/junchenghe01-local-rag-mcp-1dvxdi)
commit: ab3521926c95acbe33ff8b12d1e90544b4c383e4
code hash: abb013d075b5299c9a1e1c2c4b552a437733250ee52f67518a5bedf1fcec91e6
verified: 7/10/2026, 10:08:41 AM
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