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16 days ago
glama

local-rag-core

A headless local knowledge library and RAG substrate that enables LLM clients to search, retrieve chunks, and list documentation packs through read-only MCP tools.

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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.
🔐
You'll be asked for 1 credential: LOCAL_RAG_API_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCODEX_HOME
configEMBEDDING_MODELModel: BAAI/bge-m3 (overridable via )
configDEVICEcpu, cuda cpu Torch device
configLOCAL_RAG_MODEL_CACHEif set. ModelScope uses a modelscope/ subdir under
configLOCAL_RAG_MODEL_SOURCEBy default (=auto), local-rag-core tries to download
configHF_HOME
configSENTENCE_TRANSFORMERS_HOME
🔐 secretLOCAL_RAG_API_TOKEN$env: = "replace-with-a-long-random-token"
configLOCAL_RAG_ALLOWED_ROOTS$env: = "C:\Users\Zero\Documents;D:\Knowledge"
// 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 3 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/linkwut-create-local-rag-core-1tkurv)](https://m8ven.ai/mcp/linkwut-create-local-rag-core-1tkurv)
commit: d2a2190fcab8e80b0e93e78788e581b8b2927805
code hash: a45c138892f24c9da564e315aa5667697ca042c2ef0bb5e22ec914abaa51246f
verified: 6/21/2026, 10:48:27 AM
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