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Claude RAG MCP Pipeline

Enables Claude Desktop to search and query personal document collections (PDF, Word, Markdown, text) using semantic search and conversational AI with full context preservation across exchanges.

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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 2 credentials: OPENAI_API_KEY, ANTHROPIC_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.
🔐 secretOPENAI_API_KEY"": "your_key",
🔐 secretANTHROPIC_API_KEY"": "your_key"
// 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/kenjisekino-claude-rag-mcp-pipeline-1js5v2)](https://m8ven.ai/mcp/kenjisekino-claude-rag-mcp-pipeline-1js5v2)
commit: 6e4cc05a7970ff5d74016d88df9441f46adbc46c
code hash: 71b7395a5072dfa9c3a497c16ae5062f723b856b420caab0a19aa4b4ed3c5e2d
verified: 7/9/2026, 10:14:08 AM
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