67
/ 100
19 days ago
glama

stock-rag-mcp

Enables RAG-based querying of local stock company data using a local LLM and vector database, providing tools to ask questions, search raw chunks, and list documents.

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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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configPG_COLLECTION
configOLLAMA_BASE_URL
configLLM_MODELmodel like llama3.2:3b and set =llama3.2:3b in .env.
configEMBED_MODEL
configTOP_K
// 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 6 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/hemanthkumarkp-stock-analysis-rag-langchain-olama-mcp-145ib2)](https://m8ven.ai/mcp/hemanthkumarkp-stock-analysis-rag-langchain-olama-mcp-145ib2)
commit: 23e60a1368d9a385173a0e57529267f58d579225
code hash: f58d8a3fcdd24b901c7de274e61ef59841c1ba426fcc046e7d029df1aa56cf5f
verified: 7/12/2026, 8:28:12 AM
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