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pulsemcp

Business Analytics RAG

Combines business analytics capabilities for statistical operations on CSV data with RAG-powered knowledge retrieval from business documents, supporting both Google Gemini and custom OpenAI-compatible APIs for comprehensive business intelligence workflows.

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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.
🔐
You'll be asked for 2 credentials: GEMINI_API_KEY, CUSTOM_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.
configLLM_MODEexport ="gemini"
🔐 secretGEMINI_API_KEYexport ="your-gemini-api-key"
configCUSTOM_API_URLexport ="http://localhost:8000"
🔐 secretCUSTOM_API_KEYexport ="your-api-key" # Optional
// 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 4 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/ansh-riyal-mcp-rag-1ul7g6)](https://m8ven.ai/mcp/ansh-riyal-mcp-rag-1ul7g6)
commit: a8d9158cae50793bf54f76d693b79bf60cc7f713
code hash: dbfca761c89a51eaa1659d9f2021b39a0abb4843d54534eee34c0a19b3eca253
verified: 6/16/2026, 12:29:17 PM
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