Quant Research Platform MCP Server

Enables AI assistants to directly access quant research knowledge, including factor libraries, strategy backtesting, and research reports, through the MCP protocol.

→ zhangjunmengyang/quant-research-platform · listed on glama

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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 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.

configVITE_API_HOST

configLLM_API_URL— LLM API 地址 https://api.openai.com/v1

🔐 secretLLM_API_KEY— LLM API 密钥 sk-xxx

configPRIVATE_DATA_DIR

configDATABASE_URL

configLOG_LEVEL

configLOG_FORMAT

configLOG_TO_DB

configLOG_STORAGE

configREDIS_URL

// 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/zhangjunmengyang-quant-research-platform-1iwnwd)](https://m8ven.ai/mcp/zhangjunmengyang-quant-research-platform-1iwnwd)

commit: bbd6acb4e4c0b30a6273d425729180596299ddbd

code hash: c20861c5bbd5339983b667d905b2397f9d4db43bed25e7f3f910d41e3632267a

verified: 6/23/2026, 10:18:10 AM

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