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12 days ago
glama

mcp-rag-server

An MCP server that indexes documents and serves relevant context to LLMs via Retrieval Augmented Generation (RAG).

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// key findings
⚠️
Known vulnerabilities in dependencies: 3 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
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: LLM_API_KEY
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.
configBASE_LLM_API"": "http://localhost:11434/v1",
configCHUNK_SIZEexport =500
configEMBEDDING_MODEL"": "nomic-embed-text",
🔐 secretLLM_API_KEYAPI key for your LLM provider (empty)
configVECTOR_STORE_PATH"": "./vector_store",
// 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/kwanleefrmvi-mcp-rag-server-p17dxs)](https://m8ven.ai/mcp/kwanleefrmvi-mcp-rag-server-p17dxs)
commit: a5dd064754b9645b96ad6883f0780776eec9e201
code hash: 8ef508dacfa6eaf06225f13981600fb8f224a75bb95fc856ecffe5c3a2f9bded
verified: 6/11/2026, 10:46:20 AM
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