# QuantAnalyticsMCP

> QuantAnalyticsMCP — sathanandhh-quantanalyticsmcp-v3-0. Use this tool when you need to analyze financial data and perform statistical inference, such as Monte Carlo simulations and risk assessments. It solves problems related to financial modeling, valuation, and trend analysis, providing insights through natural language-driven outputs. The QuantAnalyticsMCP tool takes in financial data and produces quantitative analytics and risk metrics as output, ideal for use cases requiring data-driven financial decision-making.

Canonical page: https://skillsregistry.net/skills/sathanandhh-quantanalyticsmcp-v3-0  
JSON: https://api.skillsregistry.net/v1/skills/sathanandhh-quantanalyticsmcp-v3-0

## Description

Provides quantitative analytics and statistical inference for financial data, including Monte Carlo DCF valuation, risk metrics, and trend regression diagnostics, enabling natural language-driven financial analysis via Claude Desktop.

## 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/f9o5ah3r66)
- **Repository:** <https://github.com/sathanandhh/QuantAnalyticsMCP-V3.0>

## 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": "sathanandhh-quantanalyticsmcp-v3-0"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sathanandhh-quantanalyticsmcp-v3-0` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sathanandhh-quantanalyticsmcp-v3-0/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