# Motion MCP Server

> Use this tool when you need to integrate AI-powered calendar and task management with large language models, enabling natural language conversation to manage tasks, projects, and schedules across desktop, web, and mobile platforms. It solves problems of inefficient task management and scheduling by providing a seamless interface for users to interact with their calendars and tasks. The Motion MCP Server takes in natural language inputs and outputs managed tasks and schedules, making it ideal for use cases where users require hands-free or voice-controlled productivity management.

Canonical page: https://skillsregistry.net/skills/sergiolopez94-motion-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sergiolopez94-motion-mcp-server

## Description

Bridges Motion's AI-powered calendar and task management platform with LLMs using the Model Context Protocol. It enables users to manage tasks, projects, and schedules through natural language conversation on desktop, web, and mobile.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y54az7dy0k)
- **Repository:** <https://github.com/sergiolopez94/motion-mcp-server>

## 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": "sergiolopez94-motion-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sergiolopez94-motion-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sergiolopez94-motion-mcp-server/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