# quant-research-mcp

> Use this tool when you need to streamline quantitative trading research with reproducible methods. It provides a registry of paper-backed trading strategies and a deterministic decision helper, eliminating the need for large language models (LLMs). Ideal for researchers seeking reliable and consistent trading research outcomes, it accepts trading parameters as input and outputs informed trading decisions.

Canonical page: https://skillsregistry.net/skills/flawlessbyte-quant-research-mcp  
JSON: https://api.skillsregistry.net/v1/skills/flawlessbyte-quant-research-mcp

## Description

An MCP server exposing a registry of paper-backed quantitative trading methods plus a deterministic, no-LLM decision helper for reproducible trading research.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pod57bw78o)
- **Repository:** <https://github.com/FlawlessByte/quant-research-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "flawlessbyte-quant-research-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flawlessbyte-quant-research-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flawlessbyte-quant-research-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt