# ART MCP Server

> ART MCP Server — davidesg-art-python. Use this tool when you need to perform time series analysis using the Box-Jenkins methodology, and require guided or autonomous model identification, estimation, and diagnosis. It solves problems related to forecasting and trend analysis, providing inputs such as time series data and outputs including modeled forecasts and diagnostic results. Ideal for use in data-driven decision-making contexts where accurate predictions are crucial.

Canonical page: https://skillsregistry.net/skills/davidesg-art-python  
JSON: https://api.skillsregistry.net/v1/skills/davidesg-art-python

## Description

Enables time series analysis following Box-Jenkins-Treadway methodology, supporting guided or autonomous modes for model identification, estimation, and diagnosis via an LLM.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/srs9k3r5hq)
- **Repository:** <https://github.com/davidesg/art-python>

## 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": "davidesg-art-python"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davidesg-art-python` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davidesg-art-python/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