# QuantRisk

> Use this tool when you need to analyze and manage portfolio risk, as it provides core functionality for calculating Value-at-Risk (VaR), running Monte Carlo simulations, and optimizing portfolio performance. It solves problems related to risk assessment, options pricing, and stress testing, offering inputs such as portfolio composition and market data, and outputs including risk metrics and optimized portfolio allocations. Use QuantRisk in contexts where data-driven risk management and portfolio optimization are crucial, such as in investment banking, asset management, and trading.

Canonical page: https://skillsregistry.net/skills/dev-quantrisk-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/dev-quantrisk-mcp-server

## Description

Portfolio risk analytics — VaR, Monte Carlo, optimization, options Greeks, stress testing.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/dev.quantrisk%2Fmcp-server)
- **Repository:** <https://github.com/78degrees/mcp-server>

## Use it

MCP endpoint published by the skill: `https://quantrisk-mcp.quantrisk.workers.dev/mcp`

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": "dev-quantrisk-mcp-server"
    }
  }
}
```

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