# Data Analysis MCP Server

> Use this tool when you need to analyze industrial data and uncover hidden patterns, trends, and correlations. It solves problems related to data quality assessment, statistical modeling, and forecasting, providing outputs such as statistical models, forecasts, and data quality reports through a FastAPI-based interface. Ideal for use cases involving time series analysis, outlier detection, and causal analysis in industrial settings.

Canonical page: https://skillsregistry.net/skills/boyzhang666-data-analysys-mcp  
JSON: https://api.skillsregistry.net/v1/skills/boyzhang666-data-analysys-mcp

## Description

Provides comprehensive statistical analysis tools for industrial data including time series analysis, correlation calculations, stationarity tests, outlier detection, causal analysis, and forecasting capabilities. Enables data quality assessment and statistical modeling through a FastAPI-based MCP architecture.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d5rjwrovuk)
- **Repository:** <https://github.com/boyzhang666/data-analysis-mcp>

## 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": "boyzhang666-data-analysys-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/boyzhang666-data-analysys-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/boyzhang666-data-analysys-mcp/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