genpark-enterprise-knowledge-graph-provenance-tracer-skill

🌟 Overview

genpark-enterprise-knowledge-graph-provenance-tracer-skill provides industrial-grade capabilities engineered for next-generation Personal Multimodal Agents and Enterprise Workplace Execution. Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.

Enterprise Knowledge Graph Provenance & Anti-Hallucination Tracer (inspired by Tencent Docs, Meeting & Enterprise Knowledge Bases). Provides cryptographic chunk hashing, reverse claim-to-source attribution, clearance boundary validation, and provenance audit trails.

💡 Key Capabilities

• Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without pip install overhead or supply-chain vulnerabilities.
• Model Context Protocol (MCP) First: Fully compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, Ray-Ban smart glasses, and enterprise agent runtimes.
• Deterministic & Safe: Structured JSON schemas, cryptographic verification, rigorous boundary validation, and real-time telemetry.
• High Concurrency & Low Latency: In-memory caching, vectorized math approximations, and robust fault-tolerant state handling.

🚀 Quickstart

1. Direct Python Usage

from client import KnowledgeGraphProvenanceTracer

client = KnowledgeGraphProvenanceTracer()
result = client.trace_claim_provenance()
print(result)

2. Standalone MCP Server Execution

Run the MCP server via standard JSON-RPC 2.0 stdio:

python mcp_server.py

Verify standard compliance and self-tests:

python mcp_server.py --test

3. Claude Desktop / Cursor MCP Configuration

Add this tool to your claude_desktop_config.json or Cursor MCP settings:

{
  "mcpServers": {
    "genpark-enterprise-knowledge-graph-provenance-tracer-skill": {
      "command": "python",
      "args": ["/absolute/path/to/genpark-enterprise-knowledge-graph-provenance-tracer-skill/mcp_server.py"]
    }
  }
}

🛠️ Verification & Testing

Run the included verification suite:

python example_usage.py

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

Developed with ❤️ by the GenPark Autonomous Agent Ecosystem Team.