mess-mcp
CommunityDispatch physical tasks to human executors.
Authorteaguesterling
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill bridges the gap between AI agents and the physical world by enabling the creation, management, and tracking of real-world tasks assigned to human executors.
Core Features & Use Cases
- Task Creation: Define physical tasks with clear intents, context, and priorities.
- Status Tracking: Monitor the progress of tasks from pending to completion.
- Resource Management: Fetch attachments like images or documents related to tasks.
- Use Case: An AI agent can use this Skill to ask a human to "Check if the garage door is closed and provide a photo," then track the response and retrieve the image.
Quick Start
Use the mess-mcp skill to create a new request with the intent to check if the garage door is closed and provide an image.
Dependency Matrix
Required Modules
@messe-af/core@modelcontextprotocol/sdkyaml
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mess-mcp Download link: https://github.com/teaguesterling/git-messe-af/archive/main.zip#mess-mcp Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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