# risk-analytics-mcp-server

> risk-analytics-mcp-server — chenxi-bot21-risk-analytics-mcp-server. Use this tool when you need to quantify and manage financial risk, or analyze potential losses in investment portfolios. It solves problems related to risk assessment, portfolio optimization, and regulatory compliance by providing inputs such as historical or synthetic market data and outputs including risk metrics and stress test results. Ideal for use in contexts where data-driven decision making is crucial, such as asset management, banking, and insurance.

Canonical page: https://skillsregistry.net/skills/chenxi-bot21-risk-analytics-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/chenxi-bot21-risk-analytics-mcp-server

## Description

Provides AI agents with quantitative risk tools such as VaR, expected shortfall, GARCH volatility, backtesting, stress testing, tail risk analysis, and credit scoring using synthetic or user-supplied data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qkr8ohfgbb)
- **Repository:** <https://github.com/chenxi-bot21/risk-analytics-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": "chenxi-bot21-risk-analytics-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chenxi-bot21-risk-analytics-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chenxi-bot21-risk-analytics-mcp-server/pull`

---
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