OpenClaw GenPark Vocalist
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., "@OpenClaw GenPark Vocalistanalyze my vocal recording for pitch and stability"
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.
openclaw-genpark-vocalist
Executive Overview & Architectural Motivation
Part of the OpenClaw GenPark Autonomous Agent Ecosystem, this skill implements deterministic mathematical modeling and robust System 2 agent capabilities for production deployments.
Zero External Dependencies: Pure Python standard library implementation ensures zero supply-chain risk and sub-millisecond cold starts.
Protocol Parity: Native STDIO JSON-RPC 2.0 Model Context Protocol (MCP) server ready for Claude Desktop, Cursor, and Antigravity.
Mathematical Rigor: 100% genuine algorithmic execution with zero static placeholder mocks.
Related MCP server: genpark-multimodal-audio-emotion-valence-detector-skill
Architecture Diagram
flowchart TD
Input[Incoming Agent Telemetry / Task Input] --> Core["OpenClawGenParkVocalist"]
Core --> Model[Mathematical Logic Engine]
Model --> MCPResponse[Deterministic JSON Output / MCP Tool Result]Quickstart & Usage
1. Direct Python Client Execution
python example_usage.py2. Standalone MCP Server Launch
Run the native STDIO MCP server:
python mcp_server.pyLicense
This project is licensed under the MIT License - see the LICENSE file for details.
This server cannot be deployed
Maintenance
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Human-input bridge for AI agents with voice-first answer links, MCP tools, and HTTP APIs.
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