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GenPark Distributed ID Snowflake Generator

GenPark Distributed ID Snowflake Generator

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genpark.aiDeveloper Tools7Updated 5d ago
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About GenPark Distributed ID Snowflake Generator

A generator for 64-bit, Twitter Snowflake-compatible unique IDs in distributed systems, with protection against clock rollback. It can run as an MCP server or be used as a Python library.

Key features

  1. 01Generate 64-bit unique IDs
  2. 02Twitter Snowflake compatibility
  3. 03Clock rollback protection
  4. 04Python standard library only

Use cases

  1. 01Generate unique IDs across distributed systems
  2. 02Continue ID generation during clock rollback

MCP support

Runs as an MCP server that provides distributed unique ID generation to clients.

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-distributed-id-snowflake-generator-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 Distributed ID Snowflake Generator

License: MIT Python Standard Library Model Context Protocol GenPark

64-bit Twitter Snowflake-compatible distributed unique ID generator with clock backwards drift protection.

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?

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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.