# sktime-mcp

> sktime-mcp — sktime-sktime-mcp. Use this tool when you need to integrate time series machine learning capabilities into large language models (LLMs) to leverage sktime's native registry and semantics. It solves problems related to time series forecasting and analysis by providing a compatible interface for LLMs. The sktime-mcp layer takes in time series data and model specifications as inputs and outputs predictions and insights.

Canonical page: https://skillsregistry.net/skills/sktime-sktime-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sktime-sktime-mcp

## Description

An MCP (Model Context Protocol) layer that exposes sktime’s native registry and semantics to an LLM

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sktime/sktime-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": "sktime-sktime-mcp"
    }
  }
}
```

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