# QuantForge MCP Server

> QuantForge MCP Server — kars0311-quantforge. Use this tool when you need to streamline AI-driven quant research and strategy development, as it solves problems of overfitting and inefficient portfolio optimization through its backtesting and performance analytics capabilities, accepting strategy parameters as input and outputting refined portfolio recommendations. It provides an interface for iterative refinement, allowing for more accurate and reliable quant models. Use it in contexts where data-driven decision making and strategy optimization are crucial.

Canonical page: https://skillsregistry.net/skills/kars0311-quantforge  
JSON: https://api.skillsregistry.net/v1/skills/kars0311-quantforge

## Description

Enables AI-driven quant research by exposing backtesting, portfolio optimization, and performance analytics tools through MCP, allowing iterative strategy refinement with built-in overfitting guardrails.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h2gahn25o8)
- **Repository:** <https://github.com/kars0311/quantforge>

## 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": "kars0311-quantforge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kars0311-quantforge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kars0311-quantforge/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