A
licenseNot graded
qualityD
maintenanceCryptographic proof of every AI decision. An immutable, verifiable audit trail MCP server.
1
MIT
OpenClaw GenPark Visual Sleuth
by alphaparkinc
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 Visual Sleuthaudit this visual evidence chain for spatial inconsistencies and synthetic artifacts"
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-visual-sleuth
Production-hardened OpenClaw GenPark Agent skill engineered strictly with Python standard library. Provides high-throughput deterministic execution, cryptographic security, and game-theoretic optimization via the Model Context Protocol (MCP).
Architecture & Data Flow
flowchart TD
Input[Incoming Agent Telemetry / Task Input] --> Core["OpenClawGenParkVisualSleuth"]
Core --> Model[Mathematical Logic Engine]
Model --> MCPResponse[Deterministic JSON Output / MCP Tool Result]Related MCP server: SIFT Kernel
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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