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GenPark Consistent Hash Ring Router

GenPark Consistent Hash Ring Router

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genpark.aiAI & Agents7Updated 6d ago

About GenPark Consistent Hash Ring Router

GenPark Consistent Hash Ring Router uses a consistent-hashing ring with virtual nodes for distributed LLM cache routing and agent state partitioning. It is a Python standard-library implementation that can run as an MCP server or be used as a library.

Key features

  1. 01Consistent hashing ring
  2. 02Virtual nodes
  3. 03Distributed LLM cache routing
  4. 04Agent state partitioning
  5. 05Python standard library only

Use cases

  1. 01Route distributed LLM cache requests
  2. 02Partition agent state across a ring

MCP support

It runs as an MCP server and makes its routing capabilities available to MCP 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-consistent-hash-ring-router-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 Consistent Hash Ring Router

License: MIT Python Standard Library Model Context Protocol GenPark

Consistent hashing ring with virtual nodes for distributed LLM cache routing and agent state partitioning.

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.