# Motion MCP Server

> Use this tool when you need to integrate Motion's API with large language models (LLMs) for seamless task, project, and schedule management through natural language inputs. It bridges the gap between Motion's capabilities and LLMs via the Model Context Protocol, enabling efficient management and automation. Ideal for applications requiring intuitive, language-based control over tasks and projects.

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

## Description

Bridges Motion's API with LLMs via the Model Context Protocol, enabling natural language task, project, and schedule management.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rda1v40723)
- **Repository:** <https://github.com/mattdkonig/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": "mattdkonig-motion-mcp-server"
    }
  }
}
```

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