# QuantContext

> Use this tool when you need to convert plain-English strategy descriptions into actionable quant research, enabling you to screen stocks, backtest strategies, and run factor analysis using real market data. It solves problems of manual data processing and strategy implementation, providing outputs such as stock screens, backtest results, and factor analysis insights. Ideal for use cases requiring data-driven strategy development and validation, QuantContext streamlines quant research workflows by taking in strategy descriptions as input and producing executable research outputs.

Canonical page: https://skillsregistry.net/skills/jihjihk-quantcontext-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jihjihk-quantcontext-mcp-server

## Description

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.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ekkmmrhe2e)
- **Repository:** <https://github.com/zomma-dev/quantcontext-mcp-server>

## 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": "jihjihk-quantcontext-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jihjihk-quantcontext-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jihjihk-quantcontext-mcp-server/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