GenPark Weighted Round Robin Balancer

io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 25, 2026

Nginx-style smooth weighted round-robin load balancer with dynamic weight adjustment for multi-LLM r

VerifiedSTDIODesktop onlyDeveloper ToolsAI & ML

Overview

AI-generated overview

A local MCP server implementing an Nginx-style smooth weighted round-robin load balancer with dynamic weights, intended for routing requests across multiple LLM

What you can do
Provides a weighted round-robin balancing component for distributing work across multiple LLM targets, with weights that can be adjusted dynamically using a smooth Nginx-style algorithm. It is built entirely on the Python standard library with no third-party runtime dependencies. It can run as an MCP server or be imported directly as a library, and the README points to an example usage file for integration demonstrations. No individual tools are listed in the manifest.
When to use it
Worth considering when you want an assistant or agent workflow to spread requests across several LLM providers or models with configurable, adjustable weights rather than a fixed rotation. It suits setups that prefer a dependency-free Python component that can be used either as an MCP server or as an imported library.
Requirements
Runs as a local process on the user's machine, started with Python (the README shows running a Python server script). Desktop only; no web executable. No authentication, environment variables or headers are declared. No third-party runtime dependencies are claimed.
Before you install
The manifest lists no tools, so the exact operations exposed to an assistant are not documented here. The README's claims of production resilience and enterprise hardening are the provider's own statements and are not independently verified. No credentials, payments or data-writing behavior are described in the input.

Installation

In SourceWeft

  1. Open GenPark Weighted Round Robin Balancer in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

GenPark Weighted Round Robin Balancer

[License: MIT] [Python Standard Library] [Model Context Protocol] [GenPark]

Nginx-style smooth weighted round-robin load balancer with dynamic weight adjustment for multi-LLM routing.

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:

bash
python mcp_server.py

Use directly as a library:

python
from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Source: README.md at commit 2bcb435

Tools

0
SourceWeft started this package once in an isolated sandbox, without credentials, to list its tools. That failed: the package type cannot run in the sandbox.

Version history

1
  1. v1.0.1LatestOct 25, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.