GenPark Entropy Hallucination Detector
LocalAbout GenPark Entropy Hallucination Detector
GenPark Entropy Hallucination Detector analyzes token entropy and n-gram perplexity to audit LLM output for repetition loops and vocabulary collapse. It is for users checking generated text for these patterns.
Key features
- 01Token entropy analysis
- 02N-gram perplexity analysis
- 03Detects repetition loops
- 04Detects vocabulary collapse
Use cases
- 01Auditing LLM outputs
- 02Checking text for repetitive loops
MCP support
Exposes token entropy and n-gram perplexity analysis to MCP clients as an MCP server. It can also be used directly as a Python library.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGenPark Entropy Hallucination Detector
Token entropy and n-gram perplexity analyzer auditing LLM outputs for degenerate repetition loops and vocabulary collapse.
Part of the GenPark AI Agent Skills Ecosystem.
🌟 Key Features
- 100% Python Standard Library: Zero third-party runtime dependencies.
- MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
- Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.
🚀 Installation & Usage
Run as an MCP server:
python mcp_server.py
Use directly as a library:
from client import *
See example_usage.py for comprehensive integration demonstrations.
📄 License
MIT License. Maintained by GenPark AI.
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