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GenPark Prompt Drift Semantic Fingerprint

GenPark Prompt Drift Semantic Fingerprint

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genpark.aiAI & Agents7Updated 1w ago
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About GenPark Prompt Drift Semantic Fingerprint

A Python library and MCP server for detecting unauthorized changes and regressions in prompt templates through structural fingerprints. It runs without third-party runtime dependencies.

Key features

  1. 01Detect prompt template drift
  2. 02Fingerprint prompt structure
  3. 03Python standard-library runtime

Use cases

  1. 01Check templates for unauthorized changes
  2. 02Identify prompt regressions

MCP support

Runs as an MCP server and exposes prompt drift detection to MCP clients. 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.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbgenpark-prompt-drift-semantic-fingerprint-skill-v1.0.1.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

GenPark Prompt Drift Semantic Fingerprint

License: MIT Python Standard Library Model Context Protocol GenPark

Prompt template drift and structural fingerprint sentinel detecting unauthorized prompt mutations and regressions.

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.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.