# Motion

> Use this tool when you need to integrate AI-powered project management and scheduling into your workflow, to solve problems such as task and schedule management, and streamline your operations. It takes in user inputs and outputs managed tasks and schedules through the MCP server interface. Ideal for use in contexts where remote project management and team collaboration are required.

Canonical page: https://skillsregistry.net/skills/dishui-motion  
JSON: https://api.skillsregistry.net/v1/skills/dishui-motion

## Description

A community integration that bridges the Motion AI-powered project management and scheduling application to MCP clients. Agents can interact with Motion's task and schedule management features through this remote MCP server. Published as the @dishui/motion-mcp npm package.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dishui-motion)

## 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": "dishui-motion"
    }
  }
}
```

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