# Motion MCP Server

> Use this tool when you need to manage Motion tasks and projects using natural language, bridging the gap between the Motion API and Large Language Models (LLMs) through the Model Context Protocol. It solves problems of complex task management and scheduling by providing a user-friendly interface for inputting commands and receiving outputs. Ideal for use cases where efficient and intuitive management of Motion workflows is required.

Canonical page: https://skillsregistry.net/skills/markobullrush-motion-mcp-3  
JSON: https://api.skillsregistry.net/v1/skills/markobullrush-motion-mcp-3

## Description

Enables natural language management of Motion tasks, projects, schedules, and more by bridging the Motion API with LLMs through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/db8tyt53m5)
- **Repository:** <https://github.com/markobullrush/motion-mcp-3>

## 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": "markobullrush-motion-mcp-3"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markobullrush-motion-mcp-3` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markobullrush-motion-mcp-3/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