genpark-cue-desktop-ambient-context-trigger-skill
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@genpark-cue-desktop-ambient-context-trigger-skilllisten to my screen and clipboard, then predict my intent"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
genpark-cue-desktop-ambient-context-trigger-skill
🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation
📌 Overview & Capability
genpark-cue-desktop-ambient-context-trigger-skill is a deterministic, high-performance, zero-dependency Python tool and native Model Context Protocol (MCP) server engineered for next-generation personal AI agents (distilling breakthrough capabilities from Today AI, Manus, Cue, Meta, Muse, and Instinct).
Executive Capability: Ambient desktop context listener, screen text & clipboard change trigger, and non-intrusive proactive intent predictor (inspired by Cue).
⚡ Key Highlights
🐍 Zero External
pipDependencies: Implemented entirely with pure Python standard library for instant zero-overhead execution.🔌 Native Model Context Protocol (MCP): Plugs directly into any MCP-compliant client via JSON-RPC 2.0 stdio.
🧠 Personal Agent Cognitive Architecture: Fast subconscious intent reflexes, ambient screen/clipboard cues, episodic life memory, and deep autonomous task resolution.
🛡️ Production-Hardened: Comprehensive error handling, boundary validation, and telemetry.
Related MCP server: computer-use-windows
🏗️ Architecture
graph LR
User([👤 User / Ambient Environment]) -->|Sensory Signals & Goals| Core[⚡ genpark-cue-desktop-ambient-context-trigger-skill Engine]
Core --> Memory[(🧠 Episodic & Context Graph)]
Core --> Executor[🤖 Autonomous Action Pipeline]
Executor --> Result[📊 Proactive Action & Telemetry]
Result --> User🚀 Quickstart & Usage
1. Direct Python Client Execution
python example_usage.py2. Programmatic Integration
from client import CueDesktopAmbientTrigger
client = CueDesktopAmbientTrigger()
result = client.run_cue_benchmark()
print(result)🔌 Model Context Protocol (MCP) Setup
Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:
claude_desktop_config.json
{
"mcpServers": {
"genpark-cue-desktop-ambient-context-trigger-skill": {
"command": "python",
"args": ["/path/to/genpark-cue-desktop-ambient-context-trigger-skill/mcp_server.py"]
}
}
}Direct MCP Testing
python mcp_server.py --test📊 Technical Specifications
Parameter | Type | Required | Description |
|
| Yes | Sensory inputs, task goals, or ambient telemetry |
|
| No | Cognitive depth, energy profiles, or execution timeouts |
This server cannot be deployed
Maintenance
Related MCP Connectors
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
Hosted MCP server and REST API that lets AI agents use apps with no API, signed in as you.
MCP server for Clipkit — gives AI agents a video toolbox via the Clipkit schema.
MCP server for progressive tool usage at any scale (see https://klavis.ai)
Related MCP Servers
- AlicenseAqualityDmaintenanceA small Model Context Protocol (MCP) server that gives an LLM eyes on your desktop without burning context. It can take one-off screenshots, crop a region around the mouse cursor, and run timed streaming sessions that save frames to disk and only return image bytes when explicitly asked.8MIT
- AlicenseNot gradedqualityFmaintenanceA standalone MCP server for Windows desktop control, enabling screenshots, mouse and keyboard input, app launch, window/display management, and clipboard access via natural language.3MIT
- AlicenseNot gradedqualityBmaintenanceAn MCP server that gives any AI assistant eyes and hands on your desktop — screenshots, clicking, typing, OCR, window management, accessibility-tree queries, workflow recording.5Apache 2.0
- AlicenseNot gradedqualityDmaintenanceA local, dependency-free MCP server that gives AI agents controlled access to the active Windows desktop, enabling automated interaction with applications through screenshots, clicks, typing, and window management.45 npmMIT