A
licenseNot graded
qualityD
maintenanceEnterprise-grade sentiment analysis tool for AI agents, enabling sentiment labeling, keyword extraction, and batch analysis via MCP.
2
MIT
OpenClaw GenPark Sentiment Harvester
by alphaparkinc
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
openclaw-genpark-sentiment-harvester
Production-hardened OpenClaw GenPark Agent skill engineered strictly with Python standard library. Provides high-throughput deterministic execution, cryptographic security, and quantitative analysis via the Model Context Protocol (MCP).
Architecture & Data Flow
flowchart TD
Input[Incoming Agent Telemetry / Task Input] --> Core["OpenClawGenParkSentimentHarvester"]
Core --> Model[Mathematical Logic Engine]
Model --> MCPResponse[Deterministic JSON Output / MCP Tool Result]Related MCP server: TASS MCP Server
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
ActivityMaintained
ResponsivenessNo issues
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