WorldQuant MCP

Item: WorldQuant MCP
Rating: 69
Author: M8ven

Automates WorldQuant BRAIN alpha research workflows, including simulation, reference search, and alpha submission through MCP tools.

→ duy0699cat/worldquant-brain-mcp · 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.

✅

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: WQ_BRAIN_PASSWORD, worldquant_signin_password

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.

configWQ_BRAIN_EMAIL— "": "<your-email>",

configworldquant_signin_email

🔐 secretWQ_BRAIN_PASSWORD— "": "<your-password>"

🔐 secretworldquant_signin_password

configWQ_BRAIN_BASE_URL

configWQ_BRAIN_REQUEST_TIMEOUT

configWQ_BRAIN_POLL_INTERVAL

configWQ_BRAIN_MAX_POLL_SECONDS— Set if you want to change the client-wide default used by direct code paths.

configWQ_BRAIN_RATE_LIMIT_MAX_RETRIES— Tune and WQ_BRAIN_RATE_LIMIT_MAX_WAIT_SECONDS if you want stricter or looser retry behavior.

configWQ_BRAIN_RATE_LIMIT_MAX_WAIT_SECONDS— Tune WQ_BRAIN_RATE_LIMIT_MAX_RETRIES and if you want stricter or looser retry behavior.

// 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 5 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/duy0699cat-worldquant-brain-mcp-lxz9xo)](https://m8ven.ai/mcp/duy0699cat-worldquant-brain-mcp-lxz9xo)

commit: 26d13c7db55d7b5216190c7e74f62a262eebc19e

code hash: 2bc912a3a46232c93639def7bfd332faf1baf8f268e6b12f2218e38e750aafd9

verified: 6/16/2026, 11:31:11 AM

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