45
/ 100
1 month ago
glama
QuantContext
Turns plain-English strategy descriptions into executable quant research: screen stocks, backtest over historical data, and run factor analysis, all computed from real market data.
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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 1 credential: RESEND_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.config
NEXT_PUBLIC_DOCS_URL🔐 secret
RESEND_API_KEYconfig
RESEND_AUDIENCE_IDconfig
SEED_DATA_BASE_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 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[](https://m8ven.ai/mcp/zomma-dev-quantcontext-mcp-server-15s27o)commit: 48e6f271087ffa5439f49498a70ecc29d72a1d95
code hash: 2576833b67eddd2a1272e6b5e381b35ce55bb538420896d7aea35b84a04a57da
verified: 6/10/2026, 10:56:02 AM